Reading
Group
A. Corduneanu and C.M. Bishop, Variational
Bayesian Model Selection for Mixture Distributions
Presenter: Shihao Ji, Presentation
M. Kuss and C. Rassmussen,
Assessing
Approximations for Gaussian Process Classification
Presenter: David Williams, Presentation
A. Niculescu-Mizil and R. Caruana, Learning the Structure of Related TasksPresenter: Lihan He, Presentation
Y.W. The, M.I. Jordan, M.J. Beal and D.M. Blei, Sharing Clusters Among
Related Groups: Hierarchical Dirichlet Process
Presenter: Kai Ni, Presentation
24 February
2006
E. Bart and S. Ullman, Cross-Generalization:
Learning Novel Classes From A Single Example By Feature Replacement
Presenter: Nilanjan Dasgupta, Presentation
H. Ishwaran and L.F. James, Gibbs Sampling Methods
for Stick-Breaking Priors
Presenter: Yuting Qi, Presentation
T.L. Griffiths and Z. Ghahramani, Infinite Latent Feature
Models and the Indian Buffet Process
Presenter: Ya Xue,
Presentation
E. Meeds and S. Osindero, Bayes Sets
Presenter: Qi An, Presentation
Y. Wang and Q. Ji, A Dynamic Conditional
Random Field Model for Object Segmentation in Image Sequences
Presenter: Qiuhua Liu, Presentation
N. Mehta, S. Natarajan, P. Tadepalli and A. Fern, Transfer in
Variable-reward Hierarchical Reinforcement Learning
Presenter:
J. Zhang, Z. Ghahramani,
Y. Yang, Learning
Multiple Related Tasks using Latent Independent Component Analysis
Presenter:
O.L. Mangasarian and E.W. Wild, Multisurface
Proximal SVM Classification via Generalized Eigenvalues
Presenter:
A. Eliazar and R. Parr, DP-SLAM: Fast, Robust
Simultaneous Localization and Mapping without Predetermined Landmarks
A. Eliazar and R. Parr, DP-SLAM 2.0
A. Eliazar and R. Parr, Constant/Linear Time
Simultaneous Localization and Mapping for Dense Maps
Presenter: Lihan He, Presentation
D.B. Dunson and N. Pillai, Bayesian Density
Regression
Presenter: Ya Xue,
Presentation
5 May 2006
R.R. Coifman et al., Geometric Diffusions as
a Tool for Harmonic Analysis and Structure Definition of Data: Diffusion Maps
Presenter:
12 May 2006
R.R. Coifman et al., Geometric Diffusions
as a Tool for Harmonic Analysis and Structure Definition of Data: Multiscale Methods
Presenter: Shihao Ji, Presentation
19 May 2006
E. Sudderth, A. Torralba, W. Freeman and A. Willsky,
Describing Visual
Scenes Using Transformed Dirichlet Processes
Presenter: Kai Ni, Presentation
26 May 2006
S. Mahadevan and M. Maggioni, Value
Function Approximation with Diffusion Wavelets and Laplacian
Eigenfunctions
Presenter: Qi An, Presentation
2 June 2006
B. Nadler, S. Lafon, R. Coifman, I. Kevrekidis, Diffusion Maps, Spectral Clustering and Eigenfunctions of
Fokker-Planck Operators
Presenter: Nilanjan Dasgupta, Presentation
M. Szummer and T. Jaakkola, Partially Labeled
Classification with Markov Random Walks
Presenter:
B. Wolfe, M.R. James and
Presenter:
D. Justice and A. Hero, A Binary Linear
Programming Formulation of the Graph Edit Distance
Presenter: Shihao Ji, Presentation
X.L. Nguyen, M.J. Wainwright,
M.I. Jordan, On
Optimal Quantization Rules for Sequential Decision Problems
Presenter: Qi An, Presentation
L. Fei-Fei and P. Perona, A Bayesian
Hierarchical Model for Learning Natural Scene Categories
D. Blei and J.D. Lafferty, Dynamic Topic Models
Presenter:
D. Blei, J. Lafferty, Correlated Topic Models
Presenter:
E.P. Xing, K.-A.
Sohn, M.I. Jordan and Y.-W. Teh,
Bayesian
Multi-Population Haplotype Inference via a Hierarchical Dirichlet
Process Mixture
Presenter: Kai Ni, Presentation
D. Hähnel,
D. Fox, W. Burgard, and
G. Grisetti,
C. Stachniss, and
Presenter: Lihan
He, Presentation
J. Langford and B. Zadrozny, Reducing T-step
Reinforcement Learning to Classification
D. Blatt and A. O. Hero, From
weighted classification to policy search
Presenter:
A. Hyvarinen and P. Hoyer, Emergence of Phase-
and Shift-Invariant Features by decomposition of Natural Images into
Independent feature Subspaces
A. Hyvarinen, P.O. Hoyer and M. Inki, Topographic
Independent Component Analysis
Presenter:
S. Lafton and A.B. Lee, Diffusion Maps and
Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph
Partitioning, and Data Set Parameterization
Presenter: Shihao Ji, Presentation
O. Papaspiliopoulos and G.O.
Roberts, Retrospective
MCMC Methods for DP Hierarchical Models
Presenter: Yuting Qi, Presentation
13 October 2006
O. Papaspiliopoulos and G.O.
Roberts, Retrospective
MCMC Methods for DP Hierarchical Models and comparison of MCMC samplers for
Dirichlet processors
Presenter: Yuting Qi, Presentation
20 October 2006
Graphical techniques for semi-supervised learning
Presenter:
27 October 2006
F. Wood, T.L. Griffiths and Z. Ghahramani,
A Non-Parametric Bayesian
Method of Inferring Hidden Causes
Presenter: Qi An, Presentation
3 November 2006
Presenter:
10 November 2006
A. Rodriguez, D.B. Dunson and A.E.
Gelfand, The Nested Dirichlet
Process
Presenter: Kai Ni, Presentation
17 November 2006
A.E. Raftery and S. Lewis, How Many Iterations in
the Gibbs Sampler
Presenter:
5 December 2006
M.K. Cowles and B.P. Carlin, MCMC Convergence
Diagnostics: A Comparative Review
Presenter: Yuting Qi, Presentation
12 January 2007
T. Smith and R. Simmons, Heuristic Search
Value Iteration for POMDPs
Presenter:
19 January 2007
D.B. Dunson and J.-H. Park, Kernel
Stick-Breaking Processes
Presenter: Qi An, Presentation
26 January 2007
D.B. Dunson, Bayesian Dynamic Modeling of
Latent Trait Distributions
Presenter: Kai Ni, Presentation
2 February 2007
N. Tatti, Distances Between Data Sets
Based on Summary Statistics
Presenter: Yuting Qi, Presentation
9 February 2007
E.J. Candes, J. Romberg, T. Tao, Robust
Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete
Frequency Information
E. Candes and J. Romberg, Practical
Signal Recovery from Random Projections
Presenter:
16 February 2007
S. Kim and P. Smyth, Segmental Hidden Markov Models
with Random Effects for Waveform Modeling
Presenter: Lu Ren, Presentation
23 February 2007
E.P. Xing and K.-A. Sohn, A
New Nonparametric Bayesian Model for Genetic Recombination in Open Ancestral
Space
Presenter: Chunping Wang, Presentation
9 March 2007
K. Watanabe and Sumio Watanabe, Stochastic Complexities of
Gaussian Mixtures in Variational Bayesian
Approximation
Presenter:
16 March 2007
T. De Bie and
Presenter: Lihan He, Presentation
23 March 2007
D. Zhou, O. Bousquet, T. Navin Lal, J. Weston and B. Scholkopf, Learning with Local and
Global Consistency
Presenter: Qiuhua Liu, Presentation
30 March 2007
P. K. Shivaswamy, C. Bhattacharyya
and A.J. Smola, Second Order Cone
Programming Approaches for Handling Missing and Uncertain Data
Presenter: Qi An, Presentation
6 April 2007
H. Raghavan, O. Madani and R. Jones, Active Learning with
Feedback on Both Features and Instances
Presenter: John Paisley, Presentation
27 April 2007
F. Dominici, G. Parmigiani, K.H. Reckhow and R.L.
Wolpert, Combining Information from Related
Regressions
Presenter: Kai Ni, Presentation
4 May 2007
F.R. Bach and M.I. Jordan, Learning Spectral Clustering,
With Application to Speech Processing
Presenter: Yuting Qi, Presentation
11 May 2007
E. Evan-Dar,
Presenter: Shihao Ji, Presentation
18 May 2007
F.R. Bach, D. Heckerman,
Presenter: Chunping Wang, Presentation
30 May 2007
R. Munos, Policy Gradient in
Continuous Time
Presenter: Hui Li, Presentation
8 June 2007
D. Tao1, X. Li, X. Wu
and S.J. Maybank, General
Tensor Discriminant Analysis and Gabor Features for Gait Recognition
Presenter: Iulian Pruteanu, Presentation
15 June 2007
R. Thibaux and M.I. Jordan, Hierarchical Beta
Processes and the Indian Buffet Process
Presenter: Qi An, Presentation
9 July 2007
T. Liu, A.W. Moore and A. Gray, New Algorithms for Efficient
High-Dimensional Nonparametric Classification
Presenter: Yuting Qi, Presentation
18 July 2007
S. Whiteson and P. Stone, Evolutionary Function
Approximation for Reinforcement Learning
Presenter: Xuejun Liao, Presentation
27 July 2007
Y.W. Teh, D. Gorur,
Z. Ghahramani, Stick-breaking
construction for the Indian buffet process
Presenter: Kai Ni, Presentation
6 August 2007
A.D. Szlam, M. Maggioni
and R.R. Coifman, Regularization
on Graphs with Function-Adapted Diffusion Process
Presenter: Eric Wang, Presentation
15 August 2007
H. Ishwaran and M. Zarepour, Dirichlet
Prior Sieves in Finite Normal Mixtures
Presenter: John Paisley, Presentation
31 August 2007
K. Kurihara, M. Welling and Y.W. Teh, Collapsed Variational Dirichlet Process
Mixture Models
Presenter: Qi An, Presentation
7 September 2007
J. Hoey and J.J. Little, A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
Presenter: Iulian Pruteanu, Presentation
14 September 2007
S. Yu, V. Tresp and K. Yu, Robust
Multi-Task Learning with t-Processes
Presenter: Ivo Shterev, Presentation
21 September 2007
P. Quelhas, F. Monay,
J.M. Odobez, D. Gatica-Perez
and T. Tuytelaars, A Thousand Words in a
Scene
Presenter: Yuting Qi, Presentation
5 October 2007
P. Domingos and M. Pazzani, On the
Optimality of the Simple Bayesian Classifier under Zero-One Loss
Presenter: Lu Ren, Presentation
18 October 2007
Q. Wu, J. Guinney, M. Maggioni and S. Mukherjee, Learning Gradients:
Predictive Models that Infer Geometry and Dependence
Presenter: Xuejun Liao, Presentation
26 October 2007
R.M. Neal, Density
Modeling and Clustering Using Dirichlet Diffusion
Trees
Presenter: Ivo Shterev, Presentation
2 November 2007
J. Guinney, Q. Wu and
Presenter: John Paisley, Presentation
16 November 2007
M. Belkin and P. Niyogi, Using Manifold
Structure for Partially Labelled Classification
Presenter: Chunping Wang, Presentation
30 November 2007
R. Castelo
and A. Roverato, A Robust Procedure For
Gaussian Graphical Model Search From Microarray DataWith
p Larger Than n
Presenter: Kuan-Ming
Lin, Presentation
7 December 2007
Y.W. The, K. Kurihara
and M. Welling, Collapsed
Variational Inference for HDP
Presenter: Iulian Pruteanu,
Presentation
18 January 2007
H. Ishwaran and M. Zarepour, Exact
and Approximate Sum Representations for the Dirichlet
Process
Presenter: John Paisley, Presentation
25 January 2007
A.B. Owen, Infinitely Imbalanced Logistic
Regression
Presenter: Ivo Shterev,
Presentation
15 February 2008
Presenter: Eric Wang, Presentation
22 February 2008
R.F. MacLehose
and D.B. Dunson, Bayesian semi-parametric
multiple shrinkage
Presenter: Lu Ren,
Presentation
3 March 2008
W. Li, D. Blei
and A. McCallum, Nonparametric
Bayes Pachinko Allocation
Presenter: Lihan He, Presentation
12 March 2008
N. Bouguila
and D. Ziou, High-Dimensional Unsupervised
Selection & Estimation of a Finite Generalized Dirichlet
Mixture Model Based on MML
Presenter: Qi An, Presentation
21 March 2008
S. Ray and B. Mallik,
Functional
Clustering by Bayesian Wavelet Methods
Presenter: Iulian Pruteanu,
Presentation
4 April 2008
M. West, Bayesian Factor
Regression Models in the “Large p, Small n” Paradigm
Presenter: John Paisley, Presentation
11 April 2008
M. Dundar,
B. Krishnapuram, J. Bi and R. Rao,
Learning Classifiers
When the Training Data Are Not IID
Presenter: Ivo Shterev,
Presentation
18 April 2008
Y. Sun, M. Kamel
and Y. Wang, Boosting
for Learning Multiple Classes with Imbalanced Class Distribution
Presenter: Minhua
Chen, Presentation
25 April 2008
H.M. Wallach, Topic Modeling: Beyond Bag
of Words
Presenter: Eric Wang, Presentation
2 May 2008
J. Baxter, A Model of Inductive Bias
Learning
S. Ben David and R.S. Borbely, A Notion of Task
Relatedness Yielding Provable Multiple-task Learning Guarantees
Presenter: Xuejun
Liao, Presentation
9 May 2008
J. Canny and T. Rattenbury, A Dynamic Topic Model
for Document Segmentation
Presenter: Lan
Du, Presentation
16 May 2008
S.M. O’Brien and D. Dunson, Bayesian
Multivariate Logistic Regression
Presenter: Lihan He, Presentation
23 May 2008
Presenter: Minhua
Chen, Presentation
30 May 2008
J. Amores,
N. Sebe and P. Radeva, Context-Based
Object-Class Recognition and Retrieval by Generalized Correlograms
Presenter: Qi An, Presentation
6 June 2008
D.M Blei
and J.D. McAuliffe, Supervised Topic
Models
Presenter: Iulian Pruteanu,
Presentation
13 June 2008
S. Gould, J. Rodgers, D. Cohen, G. Elidan,
D. Koller, Multi-Class
Segmentation with Relative Location Prior
Presenter: Lan Du, Presentation
20 June 2008
C. Wang, D. Blei and D. Heckerman,
Continuous
Time Dynamic Topic Models
Presenter: Ivo Shterev,
Presentation
27 June 2008
P. Liang and M.I. Jordan, An Asymptotic
Analysis of Generative, Discriminative and Pseudolikelihood
Estimators
Presenter: Lihan He, Presentation
3 July 2008
G. Chechik, G. Heitz,
G. Elidan, P. Abbeel, D. Koller, Max-margin
Classification of Data with Absent Features
Presenter: Chunping Wang, Presentation
11 July 2008
E.B. Fox, E.B. Sudderth, M.I.
Jordan and A.S. Willsky, An HDP-HMM for
Systems with State Persistence
Presenter: Lu Ren,
Presentation
18 July 2008
M.B. Wakin
and R.G. Baraniuk, Random projections of
signal manifolds
C. Hegde,
M.B. Wakin and R.G. Baraniuk,
Random projections for
manifold learning
R.G. Baraniuk
and M.B. Wakin, Random projections of
smooth manifolds
Presenter: John Paisley, Presentation
25 July 2008
S.J.D. Prince and J.H. Elder, Tied factor
analysis for face recognition across large pose changes
Presenter: Lan Du, Presentation
1 August 2008
G. Elidan, B. Packer, G. Heitz and D. Koller, Convex Point
Estimation using Undirected Bayesian Transfer Hierarchies
Presenter: Haojun Chen, Presentation
8 August 2008
P. Liang, D. Klein and M.I. Jordan, Agreement-Based
Learning
Presenter: Xuejun Liao, Presentation
22 August 2008
M. Girolami and
Presenter: Minhua Chen, Presentation
29 August 2008
X.Z. Fern and C.E. Brodley, Random
Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach
Presenter: Dehong Liu, Presentation
5 September 2008
K.T. Miller, T.L. Griffiths and
M.I. Jordan, The
Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric Prior for
Latent Features
Presenter: John Paisley, Presentation
12 September 2008
T.L. Griffiths, M. Steyvers, D.M. Blei and J.B. Tenenbaum, Integrating Topics and
Syntax
Preseneter: Eric Wang, Presentation
19 September 2008
L. Meier, S. van de Geer and P. Buhlmann,
The Group Lasso for
Logistic Regression
Presenter: Lu Ren,
Presentation
3 October 2008
P. Poupart and
Presenter: Lihan He, Presentation
17 October 2008
P. Indyk and R. Motwani, Approximate
Nearest Neighbors: Towards Removing the Curse of Dimensionality
Presenter: Dehong Liu, Presentation
24 October 2008
J.A. Duan,
M. Guindani and A.E. Gelfand,
Generalized Spatial Dirichlet Process Models
Presenter: Lu Ren, Presentation
31 October 2008
R. Tibshirani,
Regression Shrinkage and
Selection via the Lasso
A.E. Hoerl
and R.W. Kennard, Ridge
Regression: Biased Estimation for Nonorthogonal
Problems
Presenter: John Paisley, Presentation
7 November 2008
H. Zou
and T. Hastie, Regularization
and Variable Selection via the Elastic Net
Presenter: Minhua
Chen, Presentation
14 November 2008
J. van
Gael, Y. Saatci, Y.W. Teh
and Z. Ghahramani, Beam Sampling for
the Infinite HMM
Presenter: Lihan
He, Presentation
28 November 2009
Y. Gal and A. Pfeffer, Networks of
Influence Diagrams: A Formalism for Representing
Agents’ Beliefs and Decision Making
Presenter: Chenghui Cai, Presentation
17 December 2008
S. Shringarpure
and E.P. Xing, mStruct: A New
Admixture Model for Inference of Population Structure in Light of Both Genetic
Admixing and Allele Mutations
Presenter: Haojun
Chen, Presentation
5 January 2009
R. Gomes, M. Welling and P. Perona,
Memory
Bounded Inference in Topic Models
Presenter: Eric Wang, Presentation
14 January 2009
P. Orbanz
and J.M. Buhmann, Smooth Image
Segmentation by Nonparametric Bayesian Inference
Presenter: Lan Du, Presentation
30 January 2008
D. Achlioptas, Database Friendly Random
Projections
Presenter: Xuejun Liao, Presentation
6 February 2009
M.A.T. Figueiredo, D.S. Cheng and
V. Murino, Clustering Under Prior
Knowledge with Application to Image Segmentation
Presenter: Lu Ren, Presentation
23 February 2009
G. Sfikas, C. Nikou
and N. Galatsanos, Edge
Preserving Spatially Varying Mixtures for Image Segmentation
Presenter: Lihan He, Presentation
2 March 2009
A. Gruber, M. Rosen-Zvi and Y. Weiss, Hidden Topic
Markov Models
Presenter: Chunping Wang, Presentation
13 March 2009
Y. Qi and T.S. Jaakkola, Parameter
Expanded Variational Bayesian Methods
Presenter: John Paisley, Presentation
20 March 2009
H.D. Bondell
and B.J. Reich, Simultaneous
Regression Shrinkage, Variable Selection, and Supervised Clustering of
Predictors with OSCAR
Presenter: Minhua
Chen, Presentation
27 March 2009
P. Rai
and H. Daume III, The Infinite
Hierarchical Factor Regression Model
Presenter: Bo Chen, Presentation
3 April 2009
J.B. Tenenbaum,
V. de Silva and J.C. Langford, A Global Geometric Framework
for Nonlinear Dimensionality Reduction
Presenter: Mingyuan
Zhou, Presentation
10 April 2009
A. Krause and C. Guestrin, Near-Optimal
Observation Selection Using Submodular Functions
Presenter: Haojun
Chen, Presentation
17 April 2009
J. Haupt,
R. Castro and R. Nowak, Distilled Sensing:
Selective Sampling for Sparse Signal Recovery
Presenter: Lihan
He, Presentation
24 April 2009
X. Wang, X. Ma and
Presenter: Xuejun
Liao, Presentation
8 May 2009
L.-J. Li, R. Socher
and L. Fei-Fei, Towards
Total Scene Understanding: Automatic Classification, Annotation and
Segmentation
Presenter: Eric Wang, Presentation
22 May 2009
X. Nguyen and A.E. Gelfand, The Dirichlet Labeling Process for Functional Data Analysis
Presenter: Lu Ren,
Presentation
1 June 2009
T. Shi, M. Belkin,
B. Yu, Data Spectroscopy: Learning Mixture Models using Eigenspaces of Convolution Operators
Presenter: Jorge Silva, Presentation
12 June 2009
A.M. Bruckstein,
D.L. Donoho and M. Elad, From Sparse
Solutions of Systems of Equations to Sparse Modeling of Signals & Images
Presenter: Mingyuan
Zhou , Presentation
19 June 2009
J.M. Duarte-Carvajalino
and G. Sapiro, Learning to Sense Sparse
Signals
Presenter: Haojun
Chen , Presentation
26 June 2009
J. Sivic
and A. Zisserman, Efficient Visual
Search of Videos Case as Text Retrieval
Presenter: John Paisley, Presentation
3 July 2009
C. Wang, D. Blei
and L. Fei-Fei, Simultaneous
Image Classification and Annotation
Presenter: Eric Wang, Presentation
10 July 2009
Presenter: Chunping
Wang, Presentation
17 July 2009
D.B. Dunson, Multivariate Kernel Partition Processes
Presenter: Lan Du, Presentation
24 July 2009
M. Elad
and
Presenter: Dehong
Liu, Presentation
31 July 2009
R.P. Adams,
Presenter: Lihan
He, Presentation
14 August 2009
T. Tieleman
and G. Hinton, Using
Fast Weights to Improve Persistent Contrastive Divergence
Presenter: Jorge Silva, Presentation
21 August 2009
R.P. Adams and Z. Ghahramani, Archipelago:
Nonparametric Bayesian Semi-Supervised Learning
Presenter: Lu Ren,
Presentation
4 September 2009
F. Doshi-Velez,
K.T. Miller, J. Van Gael and Y.W. Teh, Variational
Inference for the Indian Buffet Process
Presenter: John Paisley, Presentation
11 September 2009
N.D. Lawrence and R. Urtasun, Non-linear
Matrix Factorization with Gaussian Processes
Presenter: Eric Wang, Presentation
18 September 2009
H. Lee, R. Grosse, R. Ranganath, A.Y. Ng, Convolutional Deep Belief
Networks for Scalable Unsupervised Learning of Hierarchical Representations
Presenter: Mingyuan
Zhou, Presentation
25 September 2009
A. Beygelzimer,
Presenter: Lingbo
Li, Presentation
2 October 2009
F. Doshi-Velez
and Z. Ghahramani, Accelerated Sampling for
the Indian Buffet Process
Presenter: John Paisley, Presentation
16 October 2009
P. Liang, M.I. Jordan and D.
Klein, Learning
From Measurements in Exponential Families
Presenter: Haojun
Chen, Presentation
23 October 2009
L. Xu,
M. White and D. Schuurmans, Optimal Reverse
Prediction: A Unified Perspective on Supervised, Unsupervised and
Semi-supervised Learning
Presenter: Chunping
Wang, Presentation
30 October 2009
M.J. Choi, V. Chandrasekaran
and A.S. Willsky, Exploiting Sparse
Markov and Covariance Structure in Multiresolution
Models
Presenter: Minhua
Chen, Presentation
13 November 2009
K. Yu, J. Lafferty, S. Zhu, Y.
Gong, Large-Scale
Collaborative Prediction Using a Nonparametric Random Effects Model
Presenter: Xuejun
Liao, Presentation
20 November 2009
K.A. Heller and Y.W. Teh and D. Gurur, Infinite Hierarchical Hidden
Markov Models
Presenter: Lu Ren,
Presentation
18 December 2009
F. Wood and Y.W. Teh, A
Hierarchical Nonparametric Bayesian Approach to Statistical Language Model
Domain Adaptation
Presenter: Mingyuan
Zhou, Presentation
5 January 2010
Y.W. Teh,
A Bayesian
Interpretation of Interpolated Kneser-Ney
R. Thibaux
and M.I. Jordan, Hierarchical
Beta Processes and the Indian Buffet Process
Y.W. Teh
and D. Gurur, Indian Buffet
Processes with Power-Law Behavior
Presenter: L. Carin, Presentation
15 January 2010
J. Ghosh
and D.B. Dunson, Default Priors and
Efficient Posterior Computation in Bayesian Factor Analysis
Presenter: Eric Wang, Presentation
22 January 2010
D. Hsu, S.M. Kakade,
J. Langford and T. Zhang, Multi-Label Prediction
via Compressed Sensing
Presenter: Lingbo
Li, Presentation
29 January 2010
H.F. Lopes, E. Salazar and D. Gamerman, Spatial Dynamic Factor
Analysis
Presenter: Zhengming.Xing,
Presentation
12 February 2010
P.J. Green and D.I. Hastie, Reversible Jump MCMC
Presenter: Miao Liu, Presentation
19 February 2010
K. Bush and J. Pineau,
Manifold Embeddings for Model-Based Reinforcement Learning Under Partial
Observability
Presenter: Chenghui Cai, Presentation
26 February 2010
J. Luttinen
and A. Ilin, Variational
Gaussian-Process Factor Analysis for Modeling Spatio-Temporal
Data
Presenter: Bo Chen, Presentation
5 March 2010
H.M. Wallach, D. Minno and A. McCullum, Rethinking LDA: Why
Priors Matter
Presenter: Eric Wang, Presentation
12 March 2010
E.B. Fox, E.B. Sudderth,
M.I. Jordan and A.S. Willsky, Sharing Features Among
Dynamical Systems With Beta Processes
Presenter: Haojun
Chen, Presentation
19 March 2010
C. Wang and D.M. Blei, Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
Presenter: Chunping
Wang, Presentation
2 April 2010
T. Iwata, T. Yamada and
Presenter: Jorge Silva, Presentation
9 April 2010
J. Mairal,
F. Bach, J. Ponce, G. Sapiro and A. Zisserman, Non-Local Sparse Models for
Image Restoration
Presenter: Mingyuan
Zhou, Presentation
16 April 2010
O-A. Maillard
and R. Munos, Compressed
Least-Squares Regression
Presenter: Minhua
Chen, Presentation
23 April 2010
S. Gould, T. Gao and D. Koller, Region-Based
Segmentation and Object Detection
Presenter: Eric Wang, Presentation
30 April 2010
F. Doshi-Velez,
The Infinite
Partially Observable Markov Decision Process
Presenter: Xuejun
Liao, Presentation
7 May 2010
H. Lee, Y. Largman,
P. Pham and A.Y. Ng, Unsupervised
Feature Learning for Audio Classification Using Convolutional Deep Belief
Networks
Presenter: Bo Chen, Presentation
14 May 2010
D. Krishnan and R. Fergus, Fast Image Deconvolution Using Hyper-Laplacian
Priors
Presenter: Zhengming.Xing,
Presentation
21 May 2010
A.C. Courville,
D. Eck and Y. Bengio, An Infinite Factor
Modeling Hierarchy via a Noisy-Or Mechanism
Presenter: Lingbo
Li, Presentation
28 May 2010
Y. Chen, M. Kapralpw,
D. Pavlov and J.E. Canny, Factor Modeling for
Advertisement Targeting
Presenter: Miao Liu, Presentation
4 June 2010
K.T. Miller, T.L. Griffiths and
M.I. Jordan, Nonparametric
Latent Feature Models for Link Prediction
Presenter: Minhua
Chen, Presentation
11 June 2010
R. Jenatton,
J. Mairal, G. Obozinski and
F. Bach, Proximal
Methods for Sparse Hierarchical Dictionary Learning
Presenter: Bo Chen, Presentation
18 June 2010
P. Smaragdis,
M. Shashanka and B. Raj, A Sparse
Non-Parametric Approach for Single Channel Separation of Known Sounds
Presenter: Priyadip
Ray, Presentation
25 June 2010
V. Rao
and Y.W. Teh, Spatial Normalized
Gamma Processes
Presenter: Eric Wang, Presentation
2 July 2010
M.N. Schmidt, Linearly Constrained
Bayesian Matrix Factorization for Blind Source Separation
Presenter: Jorge Silva, Presentation
9 July 2010
R.P. Adams, H.M. Wallach and Z. Ghahramani, Learning the
Structure of Deep Sparse Graphical Models
Presenter: Zhengming
Xing, Presentation
16 July 2010
P. Rai
and H. Daume III, Model-Label Prediction
via Sparse Infinite CCA
Presenter: Lingbo
Li, Presentation
23 July 2010
S. Bengio,
F. Pereira, Y. Singer and D. Strelow, Group Sparse Coding
Presenter: Miao Liu, Presentation
30 July 2010
J. Vanhatalo,
P. Jylanki and A. Vehtari, Gaussian Process
Regression With Student-t Likelihood
Presenter: Minhua
Chen, Presentation
6 August 2010
S.-H.
Yang, H. Zha and B.-G. Hu, Dirichlet-Bernoulli
Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance
Corpora
Presenter: Haojun
Chen, Presentation
13 August 2010
L. Zhu, Y. Chen, W. Freeman and A.
Torralba, Nonparametric Bayesian
Texture Learning and Synthesis
Presenter: Eric Wang, Presentation
20 August 2010
Y.L. Boureau,
F. Bach, Y. LeCun and J. Ponce, Learning Mid-Level
Features for Recognition
Presenter: Bo Chen, Presentation
3 September 2010
J. Yang, K. Yu and T. Huang, Supervised
Translation-Invariant Sparse Coding
Presenter: Jorge Silva, Presentation
10 September 2010
R. Jenatton,
G. Obozinski and F. Bach, Structured Sparse
Principal Component Analysis
Presenter: Xuejun
Liao, Presentation
17 September 2010
K. Yu, T. Zhang and Y. Gong, Nonlinear Learning Using
Local Coordinate Coding
K. Yu and T. Zhang, Improved Local Coordinate Coding
Using Local Tangents
J. Wang, J. Yang, K. Yu, F. Lv, T. Huang and Y. Gong, Locality-Constrained
Linear Coding for Image Classification
Presenter: Mingyuan
Zhou, Presentation
24 September 2010
M.D. Hoffman, D.M. Blei and P.R. Cook, Bayesian
Nonparametric Matrix Factorization for Recorded Music
Presenter: Lu Ren,
Presentation
1 October 2010
A. Rodriguez, D.B. Dunson and A.E. Gelfand, Latent
Stick-Breaking Processes
Presenter: Esther Salazar, Presentation
8 October 2010
R. Yoshida and M.West, Bayesian Learning in
Sparse Graphical Factor Models via Variational Mean-Field
Annealing
Presenter: Miao Liu, Presentation
15 October 2010
C.M.
Carvalho, N.G. Polson and J.G. James, The horseshoe
estimator for sparse signals
Presenter: Eric Wang, Presentation
22 October 2010
J. Chang and D.M. Blei, Hierarchical
Relational Models for Document Networks
Presenter: Haojun
Chen, Presentation
5 November 2010
J. Friedman, T. Hastie and R. Tibshirani, Sparse Inverse
Covariance Estimation with the Graphical Lasso
N. Stadler
and P. Buhlmann, Missing Values: Sparse
Inverse Covariance Estimation and an Extension to Sparse Regression
O. Banerjee, L. El Ghaoui and A. d’Aspremont, Model Selection Through
Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
N. Meinshausen
and P. Buhlmann, High-Dimensional
Graphs and Variable Selection with the Lasso
Presenter: Minhua Chen, Presentation
17 November 2010
Presenter: Yingjian
Wang, Presentation
24 November 2010
R.P. Adams, Z. Ghahramani
and M.I. Jordan, Tree-Structured
Stick Breaking Processes for Hierarchical Data
Presenter: XianXing Zhang, Presentation
3 December 2010
Y.L. Boureau,
J. Ponce and Y. LeCun, A Theoretical Analysis of
Feature Pooling in Visual Recognition
Presenter: Bo Chen, Presentation
13 December 2010
K. Jarrett, K. Kavukcuoglu,
M.A. Ranzato and Y. LeCun, What is the Best
Multi-Stage Architecture for Object Recognition?
Presenter: Lingbo Li, Presentation
20 December 2010
N. Joshi and M. Brady, Non-Parametric
Mixture Modeling Based Evolution of Level Sets and Application to Medical
Images
Presenter: Lu Ren, Presentation
7 January 2011
J. Zhu, A. Ahmed and E.P. Xing, MedLDA:
Maximum Margin Supervised Topic Models for Regression and Classification
Presenter: Haojun Chen, Presentation
14 January 2011
J. Zhu and E.P. Xing, Conditional
Topic Random Fields
Presenter: Eric Wang, Presentation
21 January 2011
J. Gasthaus,
F. Wood, Yee Whye Teh, Lossless
Compression Based on the Sequence Memoizer
Presenter: Yingjian
Wang, Presentation
18 February 2011
N. Srebro
and T. Jaakkola, Weighted Low-Rank
Approximations
Presenter: Mingyuan
Zhou , Presentation
25 February 2011
A. Torralba,
K.P. Murphy and W.T. Freeman, Sharing Visual Features
for Multiclass and Multiview Object Detection
Presenter: Jorge Silva, Presentation
4 March 2011
A. McCallum, X. Wang and A. Corrada-Emmanuel, Topic and Role
Discovery in Social Networks with Experiments on Enron and Academic Email
Presenter: Miao Liu, Presentation
11 March 2011
F. Lin and W.W. Cohen, Power Iteration
Clustering
Presenter: Minhua
Chen, Presentation
25 March 2011
Y. Zhang and J. Schneider, Learning Multiple
Tasks with a Sparse Matrix-Normal Prior
Presenter: Esther Salazar, Presentation
1 April 2011
K. Kavukcuoglu,
P. Sermanet, Y.L. Boureau,
K. Gregor, M. Mathieu, Y. LeCun,
Learming Convolutional Feature Hierarchies
for Visual Recognition
Presenter: Bo Chen, Presentation
8 April 2011
J. Mairal,
F. Bach, J. Ponce, G. Sapiro, Online Learning for Matrix
Factorization and Sparse Coding
Presenter: Haojun Chen, Presentation
15
April 2011
M.D.
Hoffman, D.B. Blei and F. Bach, Online Learning
for Latent Dirichlet Allocation
Presenter:
Lingbo Li, Presentation
22
April 2011
J. Leskovec, D. Chakrabarti,
J. Kleinberg, C. Faloutsos, Z. Ghahramani,
Kronecker Graphs: An Approach to Modeling Networks
Presenter: Eric Wang, Presentation
29
April 2011
A. Canale and D.B. Dunson, Bayesian Kernel
Mixtures for Counts
Presenter: Yingjian
Wang, Presentation
6 May 2011
H. Ishwaaran
and J.S. Rao, Spike and Slab Variable
Selection: Frequentist and Bayesian Strategies
Presenter: Minhua
Chen, Presentation
13 May 2011
K. Weinberger and O. Chapelle, Large Margin Taxonomy
Embedding with an Application to Document Categorization
Presenter: Jorge Silva, Presentation
20 May 2011
S. Bengio,
J. Weston and D. Grangier, Label Embedding
Trees for Large Multi-Class Tasks
Presenter: Zhengming
Xing, Presentation
3 June 2011
D. Lin, E. Grimson
and J. Fisher, Construction
of Dependent Dirichlet Processes Based on Poisson
Processes
Presenter: Yingjian
Wang, Presentation
10 June 2011
R. Salakhutdinov,
J. Tenenbaum and A. Torralba,
One-Shot Learning with a
Hierarchical Nonparametric Bayesian Model
Presenter: Esther Salazar, Presentation
17 June 2011
A.
Coates, H. Lee and A.Y. Ng, An
Analysis of Single-Layer Networks in Unsupervised Feature Learning
A. Coates and A.Y. Ng, The
Importance of Encoding Versus Training with Sparse Coding and Vector
Quantization
Presenter: Mingyuan
Zhou, Presentation
24 June 2011
J. Kallsen
and P. Tankovy, Characterization
of Dependence of Multidimensional Lévy Processes
Using Lévy Copulas
Presenter: Yingjian
Wang, Presentation
8 July 2011
A.L. Chambers, P. Smyth and M. Steyvers, Learning Concept Graphs
from Text with Stick-Breaking Priors
Presenter: Lingbo
Li, Presentation
15 July 2011
J. Paisley, C. Wang and D. Blei, The Discrete Infinite
Logistic Normal Distribution for Mixed-Membership Modeling
Presenter: Minhua
Chen, Presentation
25 July 2011
B.P. Carlin and A. E. Gelfand, An Iterative Monte Carlo
Method for Nonconjugate Bayesian Analysis
P. Muller, A Generic Approach to
Posterior Integration and Gibbs Sampling
J.S. Liu, Metropolized
Independent Sampling with Comparisons to Rejection Sampling and Importance
Sampling
Presenter: Mingyuan
Zhou, Presentation
5 August 2011
A. Ahmed and E.P. Xing, Timeline: A Dynamic
Hierarchical Dirichlet Process Model for Recovering
Birth/Death and Evolution of Topics in Text Stream
Presenter: Bo Chen, Presentation
12 August 2011
R. M. Neal, Slice Sampling
Presenter: Priyadip
Ray, Presentation
19 August 2011
C.M. Carvalho,
H.F. Lopes, N.G. Polson and M.A. Taddy, Particle Learning for
General Mixtures
N.
Chopin, A. Iacobucci, J.-M.
Marin, K. L. Mengersen, C. P. Robert, R. Ryder, and
C. Schafer, On Particle Learning
Presenter: Miao Liu, Presentation
26 August 2011
I. Sutskever,
R. Salakhutdinov, J.B. Tenenbaum,
Modeling Relational Data
Using Bayesian Clustered Tensor Factorization
Presenter: Esther Salazar, Presentation
2 September 2011
A.P. Singh and G.J. Gordon, A Bayesian
Matrix Factorization Model for Relational Data
A.P. Singh and G.J. Gordan, Relational
Learning via Collective Matrix Factorization
Presenter: XianXing
Zhang, Presentation
16 September 2011
S. Williamson, C. Wang, K.A.
Heller and D.M. Blei, The IBP
Compound Dirichlet Process and its Application to
Focused Topic Modeling
Presenter: Eric Wang, Presentation
23 September 2011
L.-J.
Li, C. Wang, Y. Lim, D.M. Blei, L. Fei-Fei, Building and Using
a Semantivisual Image Hierarchy
Presenter: Lingbo
Li, Presentation
3 October 2011
A. Geramifard,
F. Doshi, J. Redding, N. Roy, and J.P. How, Online Discovery of
Feature Dependencies
Presenter: Xuejun
Liao, Presentation
10 October 2011
M. Dud´ık,
J. Langford and L.
Li, Doubly Robust
Policy Evaluation and Learning
Presenter: Miao Liu, Presentation
17 October 2011
M. Welling and Y.W. Teh, Bayesian Learning via
Stochastic Gradient Langevin Dynamics
Presenter: David Carlson, Presentation
26 October 2011
F. Doshi-Velez,
D. Wingate, J. Tenenbaum and N. Roy, Infinite Dynamic
Bayesian Networks
Presenter: Mingyuan
Zhou, Presentation
4 November 2011
D.L. Donoho,
A. Maleki and A. Montanari,
Message Passing Algorithms
for Compressed Sensing: I. Motivation and Construction
D.L. Donoho,
A. Maleki and A. Montanari,
Message Passing Algorithms
for Compressed Sensing: II. Analysis and Validation
Presenter: Nate Strawn, Presentation
11 November 2011
A. Banerjee, D. Dunson and S. Tokdar, Efficient Gaussian Process
Regression for Large Data Sets
Presenter: Priyadip
Ray, Presentation
18 November 2011
L. Wang and D.B. Dunson, Fast Bayesian
Inference in Dirichlet Process Mixture Models
Presenter: Esther Salazar, Presentation
2 December 2011
A. Agovic,
A. Banarjee and S. Chatterjee,
Probabilistic
Matrix Addition
Presenter:
Lingbo Li, Presentation
9 December 2011
J. Zhu and T. Hastie, Kernel Logistic Regression and
the Import Vector Machine
Presenter: Ding Mingtao, Presentation
16 December 2011
F. Liang, K. Miao, M. Liao, S. Mukherjee and M.
West, Nonparametric
Bayesian Kernel Models
Presenter: Yingjian Wang, Presentation
13 January 2012
Z. Zhang, G. Dai and M.I.
Jordan, Bayesian
Generalized Kernel Mixed Models
Presenter: Priyadip Ray, Presentation
20 January 2012
N.S. Pillai, Q. Wu, F.
Liang, S. Mukherjee and
R.L. Wolpert,
Characterizing
the Function Space for Bayesian Kernel Models
Presenter: Mingyuan Zhou, Presentation
27 January 2012
L. Zhang, C. Chen, J. Bu, D. Cai,
X. He, T.S. Huang, Active
Learning Based on Locally Linear Reconstruction
Presenter: Minhua Chen, Presentation
3 February 2012
N.
Friedman and D. Koller, Being Bayesian
About Network Structure: A Bayesian Approach to Structure Discovery in Bayesian
Networks
Presenter: XianXing
Zhang, Presentation
10 February 2012
N.G. Polson and J.G. Scott, Local Shrinkage Rules,
Levy Processes, and Regularized Regression
Presenter: David Carlson, Presentation
17 February 2012
M. Kolar,
J. Lafferty and L. Wasserman, Union Support Recovery in
Multi-task Learning
Presenter: Shaobo
Han, Presentation
2 March 2012
Y. Hitomi,
J. Gu, M. Gupta, T. Mitsunaga and S. K. Nayar, Video from a Single
Coded Exposure Photograph using a Learned Over-Complete Dictionary
Presenter: Ajit
Rajwade, Presentation
9 March 2012
M. Harel
and S. Mannor, Learning from Multiple
Outlooks
B. Kulis,
K. Saenko and T. Darrel, What You Saw is Not What
You Get: Domain Adaptation Using Asymmetric Kernel Transforms
Presenter: Minhua
Chen, Presentation
16 March 2012
A. Armagan,
D.B. Dunson and J. Lee, Generalized double
Pareto shrinkage
Presenter: Esther Salazar, Presentation
30 March 2012
A. Bhattacharya and D.B. Dunson, Sparse Bayesian
infinite factor models
Presenter: XianXing Zhang,
Presentation
6 April 2012
E. Grave, G. Obozinski
and F. Bach, Trace Lasso:
a trace norm regularization for correlated designs
Presenter: Zhengming
Xing, Presentation
13 April 2012
H. Rue and S. Martino, Approximate Bayesian
inference for latent Gaussian models by using integrated nested Laplace
approximations
Presenter: Esther
Salazar, Presentation
20 April 2012
O. Dikmen
and C. Fevotte, Nonnegative
Dictionary Learning in the Exponential Noise Model for Adaptive Music Signal
Representation
Presenter: Ding Mingtao, Presentation
7 May 2012
F. Niu,
B. Recht, C. Re and S.J. Wright, A Lock-Free Approach to
Parallelizing Stochastic Gradient Descent
Presenter: David Carlson, Presentation
14 May 2012
Z. James, X. Hao
Xu and P.J. Ramadge, Learning Sparse
Representations of High Dimensional Data on Large Scale Dictionaries
Presenter: David Lue, Presentation
21 May 2012
A.C. Sankaranarayanan, P.K. Turaga, R.
Chellappa, and R.G. Baraniuk,
Compressive Acquisition
of Dynamical Scenes
Presenter:
Ajit Rajwade, Presentation
4 June 2012
T.
Zhou,
H. Shan, A. Banerjee, G. Sapiro,
Kernelized Probabilistic Matrix
Factorization: Exploiting Graphs and Side Information
Presenter: Jorge Silva, Presentation
11 June 2012
A. Rodriguez and K. Ghosh, Nested
Partition Models
Presenter: Esther Salazar, Presentation
18 June 2012
D. Zoran
and Y, Weiss, From
Learning Models of Natural Image Patches to Whole Image Restoration
Presenter: Eric Wang, Presentation
6 July 2012
Z. Xu,
F. Yan and Y. Qi, Infinite
Tucker Decomposition: Nonparametric Bayesian Models for Multiway
Data Analysis
Presenter: Joe Ryu,
Presentation
13 July 2012
Z. Yang, C. Zhang and L. Xie, Robustly Stable
Signal Recovery in Compressed Sensing with Structured Matrix Perturbation
Presenter: Minhua
Chen, Presentation
20 July 2012
P. Bachman and D. Precup, Improved Estimation in Time
Varying Models
Presenter: Zhengming
Xing, Presentation
27 July 2012
G. Brown, A. Pocock,
M.-J. Zhao and M. Lujan, Conditional Likelihood Maximisation: A Unifying Framework for Information
Theoretic Feature Selection
Presenter: Wenzhao
Lian, Presentation
3 August 2012
J. Bruna
and S. Mallat, Invariant Scattering
Convolution Networks
Presenter: Bo Chen, Presentation
15 August 2012
Y. Bachrach,
T. Minka, J. Guiver and T. Graepel, How To Grade a Test
Without Knowing the Answers: A Bayesian Graphical Model for Adaptive
Crowdsourcing and Aptitude Testing
Presenter: David Carlson, Presentation
24 August 2012
J. Zhu, A. Ahmed, E.P. Xing, MedLDA: Maximum Margin Supervised Topic Models
Presenter: Zhengming
Xing, Presentation
31 August 2012
A. Jalali
and Sujay Sanghavi, Learning the Dependence Graph of
Time Series with Latent Factors
Presenter: Xin
Yuan, Presentation
7 September 2012
Y. Tang, R. Salakhutdinov
and G. Hinton, Deep Mixtures
of Factor Analysers
Presenter: Jianbo
Yang, Presentation
14 September 2012
B. Cseke and T. Heskes, Improving
Posterior Marginal Approximations in Latent Gaussian Models
B. Cseke and T. Heskes, Approximate Marginals in Latent Gaussian Models
Presenter:
Shaobo Han, Presentation
21 September 2012
P. Sprechmann,
A. Bronstein and G. Sapiro, Learning Efficient Structured
Sparse Models
Presenter: Yingjian
Wang, Presentation
28 September 2012
J. Zhu, Max-Margin Nonparametric Latent
Feature Models for Link Prediction
Presenter: XianXing
Zhang, Presentation
5 October 2012
C. Farabet,
C. Couprie, L. Najman and
Y. LeCun, Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal
Covers
Presenter: Bo Chen, Presentation
15 October 2012
T.P. Minka,
R. Xiang and Y. Qi, Virtual
Vector Machine for Bayesian Online Classification
Presenter: Lingbo
Li, Presentation
24 October 2012
C. Chen, N. Ding and W. Buntine, Dependent
Hierarchical Normalized Random Measures for Dynamic Topic Modeling
Presenter: Mingyuan
Zhou, Presentation
6 November 2012
R. Peharz
and F. Pernkopf, Exact Maximum Margin Structure
Learning of Bayesian Networks
Presenter: Miao Liu, Presentation
16 November 2012
Y. Shi and Fei
Sha, Information-Theoretical
Learning of Discriminative Clusters for Unsupervised Domain Adaptation
Presenter: Liming Wang, Presentation
26 November 2012
N. Le Roux, M. Schmidt and F.
Bach, A Stochastic Gradient
Method with an Exponential Convergence Rate for Strongly-Convex
Optimization with Finite Training Sets
Presenter: Miao Liu, Presentation
3 December 2012
C. Bracegirdle and D. Barber, Bayesian Conditional Cointegration
Presenter: Jianbo
Yang, Presentation
12 December 2012
J. Paisley, C. Wang, D.M. Blei and M.I. Jordan, Nested
Hierarchical Dirichlet Processes
Presenter: David Carlson, Presentation
11 January 2013
C. Wang and D. Blei,
Truncation-free
Stochastic Variational Inference for Bayesian
Nonparametric Models
Presenter: XianXing
Zhang, Presentation
17 January 2013
I.J. Goodfellow,
A. Courville and Y. Bengio,
Large-Scale Feature Learning
With Spike-and-Slab Sparse Coding
Presenter: Xin Yuan, Presentation
25 January 2013
A. Ahmed, S. Ravi, S.M. Narayanamurthy, A.J. Smola, FastEx: Hash Clustering with Exponential Families
Presenter: Jianbo
Yang, Presentation
1 February 2013
D.I. Kim, M.C. Hughes and E.B. Sudderth, The
Nonparametric Metadata Dependent Relational Model
Presenter: Zhengming
Xing, Presentation
22 February 2013
Y.J. Ko and M. Seeger, Large Scale Variational
Bayesian Inference for Structured Scale Mixture Models
Presenter: Mingyuan
Zhou, Presentation
1 March 2013
S. Ahn,
A. Korattikara and M. Welling, Bayesian Posterior Sampling via
Stochastic Gradient Fisher Scoring
Presenter: David Carlson, Presentation
8 March 2013
D. Mimno,
M.D. Hoffman and D.M. Blei, Sparse stochastic inference for
latent Dirichlet allocation
Presenter: Miao Liu, Presentation
15 March 2013
A. Joulin
and F. Bach, A convex
relaxation for weakly supervised classifiers
Presenter: Joe Ryu,
Presentation
29 March 2013
J. Paisley, D.M. Blei, M.I.
Jordan, Variational
Bayesian Inference with Stochastic Search
Presenter: Mingyuan Zhou, Presentation
5 April 2013
M.J. Paul and M. Dredze, Factorial LDA: Sparse
Multi-Dimensional Text Models
Presenter: Lingbo
Li, Presentation
12 April 2013
A. Banerjee, S. Merugi, I.S. Dhillon and J. Ghosh, Clustering with Bregman Divergences
Presenter: Liming Wang, Presentation
19 April 2013
H. Nickisch
and C.E. Rasmussen, Approximations
for Binary Gaussian Process Classification
Presenter: Shaobo
Han, Presentation
26 April 2013
P. Pletscher and S. Wulff, LPQP for MAP: Putting LP Solvers
to Better Use
Presenter: Zhengming
Xing, Presentation
3 May 2013
S. Balakrishnan,
K. Puniyani and J. Lafferty, Sparse Additive Functional and
Kernel CCA
Presenter: Miao Liu, Presentation
14 May 2013
R. Fujimaki
and S. Morinaga, Factorized
Asymptotic Bayesian Inference for Mixture Modeling
R. Fujimaki
and K. Hayashi, Factorized
Asymptotic Bayesian Hidden Markov Models
Presenter: Hui
Li, Presentation
20 May 2013
A. Kumar and H. Daume III, Learning
Task Grouping and Overlap in Multi-Task Learning
Presenter: Kyle Ulrich
27 May 2013
H. Liu, F. Han, M. Yuan, J.
Lafferty and L. Wasserman, The
Nonparanormal SKEPTIC
Presenter: Esther Salazar
3 June 2013
M. Xu
and J. Lafferty, Conditional
Sparse Coding and Grouped Multivariate Regression
Presenter:
10 June 2013
K. Palla, D.A. Knowles and Z. Ghahramani, An Infinite Latent Attribute
Model for Network Data
Presenter:
17 June 2013
P. Sarkar, D. Chakrabartiy
and M.I. Jordan, Nonparametric
Link Prediction in Dynamic Networks
Presenter:
24 June 2013
A. Spiliopoulou
and A. Storkey, A Topic Model for Melodic
Sequences
Presenter:
1 July 2013
M. Girolami
and B. Calderhead, Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods
Presenter:
8 July 2013
R. Garnett, Y. Krishnamurthy, X. Xiong, J. Schneider and R. Mann, Bayesian Optimal Active Search
and Surveying
Presenter:
15 July 2013
N.J. Foti,
J.D. Futoma, D.N. Rockmore
and S. Williamson, A
unifying representation for a class of dependent random measures