More from the Same Authors

• 2019 Workshop: Bayesian Deep Learning »
  Yarin Gal · José Miguel Hernández-Lobato · Christos Louizos · Eric Nalisnick · Zoubin Ghahramani · Kevin Murphy · Max Welling
• 2019 Poster: Invert to Learn to Invert »
  Patrick Putzky · Max Welling
• 2019 Poster: Deep Scale-spaces: Equivariance Over Scale »
  Daniel Worrall · Max Welling
• 2019 Poster: Integer Discrete Flows and Lossless Compression »
  Emiel Hoogeboom · Jorn Peters · Rianne van den Berg · Max Welling
• 2019 Poster: The Functional Neural Process »
  Christos Louizos · Xiahan Shi · Klamer Schutte · Max Welling
• 2019 Poster: Combining Generative and Discriminative Models for Hybrid Inference »
  Victor Garcia Satorras · Zeynep Akata · Max Welling
• 2019 Spotlight: Combining Generative and Discriminative Models for Hybrid Inference »
  Victor Garcia Satorras · Max Welling · Zeynep Akata
• 2019 Poster: Combinatorial Bayesian Optimization using the Graph Cartesian Product »
  Changyong Oh · Jakub Tomczak · Efstratios Gavves · Max Welling
• 2018 Workshop: Bayesian Deep Learning »
  Yarin Gal · José Miguel Hernández-Lobato · Christos Louizos · Andrew Wilson · Zoubin Ghahramani · Kevin Murphy · Max Welling
• 2018 Workshop: NIPS 2018 workshop on Compact Deep Neural Networks with industrial applications »
  Lixin Fan · Zhouchen Lin · Max Welling · Yurong Chen · Werner Bailer
• 2018 Poster: Graphical Generative Adversarial Networks »
  Chongxuan LI · Max Welling · Jun Zhu · Bo Zhang
• 2018 Poster: 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data »
  Maurice Weiler · Wouter Boomsma · Mario Geiger · Max Welling · Taco S Cohen
• 2017 Workshop: Bayesian Deep Learning »
  Yarin Gal · José Miguel Hernández-Lobato · Christos Louizos · Andrew Wilson · Andrew Wilson · Durk Kingma · Zoubin Ghahramani · Kevin Murphy · Max Welling
• 2017 Workshop: Advances in Approximate Bayesian Inference »
  Francisco Ruiz · Stephan Mandt · Cheng Zhang · James McInerney · James McInerney · Dustin Tran · Dustin Tran · David Blei · Max Welling · Tamara Broderick · Michalis Titsias
• 2017 Poster: Causal Effect Inference with Deep Latent-Variable Models »
  Christos Louizos · Uri Shalit · Joris M Mooij · David Sontag · Richard Zemel · Max Welling
• 2017 Poster: Bayesian Compression for Deep Learning »
  Christos Louizos · Karen Ullrich · Max Welling
• 2016 Workshop: Bayesian Deep Learning »
  Yarin Gal · Christos Louizos · Zoubin Ghahramani · Kevin Murphy · Max Welling
• 2016 Poster: Improving Variational Autoencoders with Inverse Autoregressive Flow »
  Durk Kingma · Tim Salimans · Rafal Jozefowicz · Peter Chen · Xi Chen · Ilya Sutskever · Max Welling
• 2016 Poster: A posteriori error bounds for joint matrix decomposition problems »
  Nicolò Colombo · Nikos Vlassis
• 2015 Workshop: Scalable Monte Carlo Methods for Bayesian Analysis of Big Data »
  Babak Shahbaba · Yee Whye Teh · Max Welling · Arnaud Doucet · Christophe Andrieu · Sebastian J. Vollmer · Pierre Jacob
• 2015 Symposium: Deep Learning Symposium »
  Yoshua Bengio · Marc'Aurelio Ranzato · Honglak Lee · Max Welling · Andrew Y Ng
• 2015 Poster: Bayesian dark knowledge »
  Anoop Korattikara Balan · Vivek Rathod · Kevin Murphy · Max Welling
• 2015 Poster: Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference »
  Ted Meeds · Max Welling
• 2015 Poster: Variational Dropout and the Local Reparameterization Trick »
  Durk Kingma · Tim Salimans · Max Welling
• 2014 Workshop: ABC in Montreal »
  Max Welling · Neil D Lawrence · Richard D Wilkinson · Ted Meeds · Christian X Robert
• 2014 Poster: Semi-supervised Learning with Deep Generative Models »
  Durk Kingma · Shakir Mohamed · Danilo Jimenez Rezende · Max Welling
• 2014 Demonstration: Machine Learning in the Browser »
  Ted Meeds · Remco Hendriks · Said Al Faraby · Magiel Bruntink · Max Welling
• 2014 Spotlight: Semi-supervised Learning with Deep Generative Models »
  Durk Kingma · Shakir Mohamed · Danilo Jimenez Rezende · Max Welling
• 2013 Workshop: Probabilistic Models for Big Data »
  Neil D Lawrence · Joaquin Quiñonero Candela · Tianshi Gao · James Hensman · Zoubin Ghahramani · Max Welling · David Blei · Ralf Herbrich
• 2012 Poster: The Time-Marginalized Coalescent Prior for Hierarchical Clustering »
  Levi Boyles · Max Welling
• 2011 Poster: Statistical Tests for Optimization Efficiency »
  Levi Boyles · Anoop Korattikara · Deva Ramanan · Max Welling
• 2010 Poster: On Herding and the Perceptron Cycling Theorem »
  Andrew E Gelfand · Yutian Chen · Laurens van der Maaten · Max Welling
• 2010 Poster: Deterministic Single-Pass Algorithm for LDA »
  Issei Sato · Kenichi Kurihara · Hiroshi Nakagawa
• 2008 Session: Oral session 10: Nonparametric Processes, Scene Processing and Image Statistics »
  Max Welling
• 2008 Poster: Asynchronous Distributed Learning of Topic Models »
  Arthur Asuncion · Padhraic Smyth · Max Welling
• 2007 Spotlight: Collapsed Variational Inference for HDP »
  Yee Whye Teh · Kenichi Kurihara · Max Welling
• 2007 Spotlight: Distributed Inference for Latent Dirichlet Allocation »
  David Newman · Arthur Asuncion · Padhraic Smyth · Max Welling
• 2007 Poster: Infinite State Bayes-Nets for Structured Domains »
  Max Welling · Ian Porteous · Evgeniy Bart
• 2007 Poster: Collapsed Variational Inference for HDP »
  Yee Whye Teh · Kenichi Kurihara · Max Welling
• 2007 Poster: Distributed Inference for Latent Dirichlet Allocation »
  David Newman · Arthur Asuncion · Padhraic Smyth · Max Welling
• 2007 Spotlight: Infinite State Bayes-Nets for Structured Domains »
  Max Welling · Ian Porteous · Evgeniy Bart
• 2006 Poster: Structure Learning in Markov Random Fields »
  Sridevi Parise · Max Welling
• 2006 Spotlight: Accelerated Variational Dirichlet Process Mixtures »
  Kenichi Kurihara · Max Welling · Nikos Vlassis
• 2006 Poster: A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation »
  Yee Whye Teh · David Newman · Max Welling