Max Welling

Max Welling, Yee Whye Teh: Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation. CoRR abs/1301.2317 (2013)

Luke Bornn, Yutian Chen, Nando de Freitas, Mareija Eskelin, Jing Fang, Max Welling: Herded Gibbs Sampling. CoRR abs/1301.4168 (2013)

Anoop Korattikara Balan, Yutian Chen, Max Welling: Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget. CoRR abs/1304.5299 (2013)

Dilan Görür, Levi Boyles, Max Welling: Scalable Inference on Kingman's Coalescent using Pair Similarity . Journal of Machine Learning Research - Proceedings Track 22: 440-448 (2012)

Sing Bing Kang, Jiri Matas, Max Welling, Ramin Zabih: State of the Journal. IEEE Trans. Pattern Anal. Mach. Intell. 34(1): 1-2 (2012)

Ramin Zabih, Sing Bing Kang, Neil D. Lawrence, Jiri Matas, Max Welling: Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 209-210 (2012)

Ramin Zabih, Sing Bing Kang, Neil D. Lawrence, Jiri Matas, Max Welling: Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 833 (2012)

Xiangxin Zhu, Max Welling, Fang Jin, John S. Lowengrub: Predicting simulation parameters of biological systems using a Gaussian process model. Statistical Analysis and Data Mining 5(6): 509-522 (2012)

Sungjin Ahn, Anoop Korattikara Balan, Max Welling: Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring. ICML 2012

Max Welling, Ian Porteous, Kenichi Kurihara: Exchangeable inconsistent priors for Bayesian posterior inference. ITA 2012: 407-414

Levi Boyles, Max Welling: The Time-Marginalized Coalescent Prior for Hierarchical Clustering. NIPS 2012: 2978-2986

Yutian Chen, Max Welling: Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior. UAI 2012: 174-184

Andrew Gelfand, Max Welling: Generalized Belief Propagation on Tree Robust Structured Region Graphs. UAI 2012: 296-305

Max Welling, Andrew Gelfand, Alexander T. Ihler: A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation. UAI 2012: 883-892

Yutian Chen, Max Welling, Alex J. Smola: Super-Samples from Kernel Herding. CoRR abs/1203.3472 (2012)

Max Welling: Herding Dynamic Weights for Partially Observed Random Field Models. CoRR abs/1205.2605 (2012)

Arthur U. Asuncion, Max Welling, Padhraic Smyth, Yee Whye Teh: On Smoothing and Inference for Topic Models. CoRR abs/1205.2662 (2012)

Yutian Chen, Max Welling: Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior. CoRR abs/1206.1088 (2012)

Max Welling, Yee Whye Teh, Hilbert J. Kappen: Hybrid Variational/Gibbs Collapsed Inference in Topic Models. CoRR abs/1206.3297 (2012)

Max Welling, Thomas P. Minka, Yee Whye Teh: Structured Region Graphs: Morphing EP into GBP. CoRR abs/1207.1426 (2012)

Max Welling: On the Choice of Regions for Generalized Belief Propagation. CoRR abs/1207.4158 (2012)

Peter Welinder, Max Welling, Pietro Perona: Semisupervised Classifier Evaluation and Recalibration. CoRR abs/1210.2162 (2012)

Andrew Gelfand, Max Welling: Generalized Belief Propagation on Tree Robust Structured Region Graphs. CoRR abs/1210.4857 (2012)

Max Welling, Andrew E. Gelfand, Alexander T. Ihler: A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation. CoRR abs/1210.4916 (2012)

Max Welling, Richard S. Zemel, Geoffrey E. Hinton: Efficient Parametric Projection Pursuit Density Estimation. CoRR abs/1212.2513 (2012)

Anoop Korattikara Balan, Levi Boyles, Max Welling, Jingu Kim, Haesun Park: Statistical Optimization of Non-Negative Matrix Factorization. Journal of Machine Learning Research - Proceedings Track 15: 128-136 (2011)

Laurens van der Maaten, Max Welling, Lawrence K. Saul: Hidden-Unit Conditional Random Fields. Journal of Machine Learning Research - Proceedings Track 15: 479-488 (2011)

Ramin Zabih, Sing Bing Kang, Jiri Matas, Max Welling: Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2129-2130 (2011)

Evgeniy Bart, Max Welling, Pietro Perona: Unsupervised Organization of Image Collections: Taxonomies and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2302-2315 (2011)

Ramin Zabih, Sing Bing Kang, Jiri Matas, Max Welling: Editor's Note. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2337-2340 (2011)

Cristian Sminchisescu, Max Welling: Generalized darting Monte Carlo. Pattern Recognition 44(10-11): 2738-2748 (2011)

Yutian Chen, Andrew Gelfand, Charless C. Fowlkes, Max Welling: Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation. ICCV 2011: 2635-2642

Max Welling, Yee Whye Teh: Bayesian Learning via Stochastic Gradient Langevin Dynamics. ICML 2011: 681-688

Levi Boyles, Anoop Korattikara Balan, Deva Ramanan, Max Welling: Statistical Tests for Optimization Efficiency. NIPS 2011: 2196-2204

Yuan Zhang, Lichun Bao, Shih-Hsien Yang, Max Welling, Di Wu: Localization Algorithms for Wireless Sensor Retrieval. Comput. J. 53(10): 1594-1605 (2010)

Yutian Chen, Max Welling: Parametric Herding. Journal of Machine Learning Research - Proceedings Track 9: 97-104 (2010)

Ian Porteous, Arthur U. Asuncion, Max Welling: Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures. AAAI 2010

Yutian Chen, Max Welling: Dynamical Products of Experts for Modeling Financial Time Series. ICML 2010: 207-214

Andrew Gelfand, Yutian Chen, Laurens van der Maaten, Max Welling: On Herding and the Perceptron Cycling Theorem. NIPS 2010: 694-702

Yutian Chen, Max Welling, Alex J. Smola: Super-Samples from Kernel Herding. UAI 2010: 109-116

David A. Van Dyk, Max Welling: Preface. Journal of Machine Learning Research - Proceedings Track 5 (2009)

David Newman, Arthur U. Asuncion, Padhraic Smyth, Max Welling: Distributed Algorithms for Topic Models. Journal of Machine Learning Research 10: 1801-1828 (2009)

Kenichi Kurihara, Max Welling: Bayesian k-Means as a "Maximization-Expectation" Algorithm. Neural Computation 21(4): 1145-1172 (2009)

Max Welling: Herding dynamical weights to learn. ICML 2009: 141

Yutian Chen, Max Welling: Bayesian Extreme Components Analysis. IJCAI 2009: 1022-1027

Yuan Zhang, Lichun Bao, Max Welling, Shih-Hsien Yang: Base Station Localization in Search of Empty Spectrum Spaces in Cognitive Radio Networks. MSN 2009: 94-101

Arthur U. Asuncion, Max Welling, Padhraic Smyth, Yee Whye Teh: On Smoothing and Inference for Topic Models. UAI 2009: 27-34

Max Welling: Herding Dynamic Weights for Partially Observed Random Field Models. UAI 2009: 599-606

Alex Holub, Max Welling, Pietro Perona: Hybrid Generative-Discriminative Visual Categorization. International Journal of Computer Vision 77(1-3): 239-258 (2008)

Ian Porteous, Evgeniy Bart, Max Welling: Multi-HDP: A Non Parametric Bayesian Model for Tensor Factorization. AAAI 2008: 1487-1490

Evgeniy Bart, Ian Porteous, Pietro Perona, Max Welling: Unsupervised learning of visual taxonomies. CVPR 2008

Ryan Gomes, Max Welling, Pietro Perona: Incremental learning of nonparametric Bayesian mixture models. CVPR 2008

Ryan Gomes, Max Welling, Pietro Perona: Memory bounded inference in topic models. ICML 2008: 344-351

Ian Porteous, David Newman, Alexander T. Ihler, Arthur U. Asuncion, Padhraic Smyth, Max Welling: Fast collapsed gibbs sampling for latent dirichlet allocation. KDD 2008: 569-577

Arthur U. Asuncion, Padhraic Smyth, Max Welling: Asynchronous Distributed Learning of Topic Models. NIPS 2008: 81-88

Max Welling, Chaitanya Chemudugunta, Nathan Sutter: Deterministic Latent Variable Models and Their Pitfalls. SDM 2008: 196-207

Max Welling, Yee Whye Teh, Bert Kappen: Hybrid Variational/Gibbs Collapsed Inference in Topic Models. UAI 2008: 587-594

Cristian Sminchisescu, Max Welling: Generalized Darting Monte Carlo. Journal of Machine Learning Research - Proceedings Track 2: 516-523 (2007)

Max Welling: Product of experts. Scholarpedia 2(10): 3879 (2007)

Max Welling, Joseph J. Lim: A Distributed Message Passing Algorithm for Sensor Localization. ICANN (1) 2007: 767-775

Kenichi Kurihara, Max Welling, Yee Whye Teh: Collapsed Variational Dirichlet Process Mixture Models. IJCAI 2007: 2796-2801

David Newman, Arthur U. Asuncion, Padhraic Smyth, Max Welling: Distributed Inference for Latent Dirichlet Allocation. NIPS 2007

Yee Whye Teh, Kenichi Kurihara, Max Welling: Collapsed Variational Inference for HDP. NIPS 2007

Max Welling, Ian Porteous, Evgeniy Bart: Infinite State Bayes-Nets for Structured Domains. NIPS 2007

Geoffrey E. Hinton, Simon Osindero, Max Welling, Yee Whye Teh: Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation. Cognitive Science 30(4): 725-731 (2006)

Simon Osindero, Max Welling, Geoffrey E. Hinton: Topographic Product Models Applied to Natural Scene Statistics. Neural Computation 18(2): 381-414 (2006)

Peter V. Gehler, Alex Holub, Max Welling: The rate adapting poisson model for information retrieval and object recognition. ICML 2006: 337-344

Kenichi Kurihara, Max Welling, Nikos A. Vlassis: Accelerated Variational Dirichlet Process Mixtures. NIPS 2006: 761-768

Sridevi Parise, Max Welling: Bayesian Model Scoring in Markov Random Fields. NIPS 2006: 1073-1080

Yee Whye Teh, David Newman, Max Welling: A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation. NIPS 2006: 1353-1360

Max Welling, Kenichi Kurihara: Bayesian K-Means as a "Maximization-Expectation" Algorithm. SDM 2006

Ian Porteous, Alex Ihter, Padhraic Smyth, Max Welling: Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation. UAI 2006

Max Welling, Sridevi Parise: Bayesian Random Fields: The Bethe-Laplace Approximation. UAI 2006

Alex Holub, Max Welling, Pietro Perona: Combining Generative Models and Fisher Kernels for Object Recognition. ICCV 2005: 136-143

Peter V. Gehler, Max Welling: Products of Edge-perts. NIPS 2005

Max Welling, Thomas P. Minka, Yee Whye Teh: Structured Region Graphs: Morphing EP into GBP. UAI 2005: 609-614

Max Welling, Yee Whye Teh: Linear Response Algorithms for Approximate Inference in Graphical Models. Neural Computation 16(1): 197-221 (2004)

Max Welling, Richard S. Zemel, Geoffrey E. Hinton: Probabilistic sequential independent components analysis. IEEE Transactions on Neural Networks 15(4): 838-849 (2004)

Max Welling, Michal Rosen-Zvi, Yee Whye Teh: Approximate inference by Markov chains on union spaces. ICML 2004

Max Welling, Michal Rosen-Zvi, Geoffrey E. Hinton: Exponential Family Harmoniums with an Application to Information Retrieval. NIPS 2004

Max Welling: On the Choice of Regions for Generalized Belief Propagation. UAI 2004: 585-592

Max Welling, Yee Whye Teh: Approximate inference in Boltzmann machines. Artif. Intell. 143(1): 19-50 (2003)

Yee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton: Energy-Based Models for Sparse Overcomplete Representations. Journal of Machine Learning Research 4: 1235-1260 (2003)

Geoffrey E. Hinton, Max Welling, Andriy Mnih: Wormholes Improve Contrastive Divergence. NIPS 2003

Max Welling, Felix V. Agakov, Christopher K. I. Williams: Extreme Components Analysis. NIPS 2003

Max Welling, Yee Whye Teh: Linear Response for Approximate Inference. NIPS 2003

Max Welling, Richard S. Zemel, Geoffrey E. Hinton: Efficient Parametric Projection Pursuit Density Estimation. UAI 2003: 575-582

Max Welling, Geoffrey E. Hinton: A New Learning Algorithm for Mean Field Boltzmann Machines. ICANN 2002: 351-357

Max Welling, Richard S. Zemel, Geoffrey E. Hinton: Self Supervised Boosting. NIPS 2002: 665-672

Max Welling, Geoffrey E. Hinton, Simon Osindero: Learning Sparse Topographic Representations with Products of Student-t Distributions. NIPS 2002: 1359-1366

Max Welling, Markus Weber: A Constrained EM Algorithm for Independent Component Analysis. Neural Computation 13(3): 677-689 (2001)

Max Welling, Markus Weber: Positive tensor factorization. Pattern Recognition Letters 22(12): 1255-1261 (2001)

Yee Whye Teh, Max Welling: The Unified Propagation and Scaling Algorithm. NIPS 2001: 953-960

Max Welling, Yee Whye Teh: Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation. UAI 2001: 554-561

Markus Weber, Max Welling, Pietro Perona: Towards Automatic Discovery of Object Categories. CVPR 2000: 2101-

Markus Weber, Max Welling, Pietro Perona: Unsupervised Learning of Models for Recognition. ECCV (1) 2000: 18-32

Markus Weber, Wolfgang Einhäuser, Max Welling, Pietro Perona: Viewpoint-Invariant Learning and Detection of Human Heads. FG 2000: 20-27