More from the Same Authors

• 2020 : Learning Invariant Representations for Reinforcement Learning without Reconstruction »
  Amy Zhang
• 2020 : Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP »
  Amy Zhang
• 2021 : Online Algorithmic Recourse by Collective Action »
  Elliot Creager · Richard Zemel
• 2022 : Towards Environment-Invariant Representation Learning for Robust Task Transfer »
  Benjamin Eyre · Richard Zemel · Elliot Creager
• 2023 : Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift »
  Benjamin Eyre · Elliot Creager · David Madras · Vardan Papyan · Richard Zemel
• 2023 : Conditional Bisimulation for Generalization in Reinforcement Learning »
  Anuj Mahajan · Amy Zhang
• 2023 Poster: Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning »
  Tongzhou Wang · Antonio Torralba · Phillip Isola · Amy Zhang
• 2023 Test Of Time: Learning Fair Representations »
  Richard Zemel · Yu Wu · Kevin Swersky · Toniann Pitassi · Cynthia Dwork
• 2023 Poster: LIV: Language-Image Representations and Rewards for Robotic Control »
  Yecheng Jason Ma · Vikash Kumar · Amy Zhang · Osbert Bastani · Dinesh Jayaraman
• 2022 : Invited talks 3, Q/A, Amy, Rich and Liting »
  Liting Sun · Amy Zhang · Richard Zemel
• 2022 Poster: Online Decision Transformer »
  Qinqing Zheng · Amy Zhang · Aditya Grover
• 2022 Poster: Robust Policy Learning over Multiple Uncertainty Sets »
  Annie Xie · Shagun Sodhani · Chelsea Finn · Joelle Pineau · Amy Zhang
• 2022 Poster: Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning »
  Philippe Hansen-Estruch · Amy Zhang · Ashvin Nair · Patrick Yin · Sergey Levine
• 2022 Spotlight: Robust Policy Learning over Multiple Uncertainty Sets »
  Annie Xie · Shagun Sodhani · Chelsea Finn · Joelle Pineau · Amy Zhang
• 2022 Spotlight: Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning »
  Philippe Hansen-Estruch · Amy Zhang · Ashvin Nair · Patrick Yin · Sergey Levine
• 2022 Oral: Online Decision Transformer »
  Qinqing Zheng · Amy Zhang · Aditya Grover
• 2022 Poster: Denoised MDPs: Learning World Models Better Than the World Itself »
  Tongzhou Wang · Simon Du · Antonio Torralba · Phillip Isola · Amy Zhang · Yuandong Tian
• 2022 Spotlight: Denoised MDPs: Learning World Models Better Than the World Itself »
  Tongzhou Wang · Simon Du · Antonio Torralba · Phillip Isola · Amy Zhang · Yuandong Tian
• 2021 Poster: SketchEmbedNet: Learning Novel Concepts by Imitating Drawings »
  Alexander Wang · Mengye Ren · Richard Zemel
• 2021 Poster: Learning a Universal Template for Few-shot Dataset Generalization »
  Eleni Triantafillou · Hugo Larochelle · Richard Zemel · Vincent Dumoulin
• 2021 Poster: Environment Inference for Invariant Learning »
  Elliot Creager · Joern-Henrik Jacobsen · Richard Zemel
• 2021 Spotlight: Learning a Universal Template for Few-shot Dataset Generalization »
  Eleni Triantafillou · Hugo Larochelle · Richard Zemel · Vincent Dumoulin
• 2021 Spotlight: Environment Inference for Invariant Learning »
  Elliot Creager · Joern-Henrik Jacobsen · Richard Zemel
• 2021 Spotlight: SketchEmbedNet: Learning Novel Concepts by Imitating Drawings »
  Alexander Wang · Mengye Ren · Richard Zemel
• 2021 Poster: On Monotonic Linear Interpolation of Neural Network Parameters »
  James Lucas · Juhan Bae · Michael Zhang · Stanislav Fort · Richard Zemel · Roger Grosse
• 2021 Spotlight: On Monotonic Linear Interpolation of Neural Network Parameters »
  James Lucas · Juhan Bae · Michael Zhang · Stanislav Fort · Richard Zemel · Roger Grosse
• 2020 : Invited Talk 4: Prof. Richard Zemel from University of Toronto »
  Richard Zemel
• 2020 : Paper spotlight: Learning Invariant Representations for Reinforcement Learning without Reconstruction »
  Amy Zhang
• 2020 Workshop: Participatory Approaches to Machine Learning »
  Angela Zhou · David Madras · Deborah Raji · Smitha Milli · Bogdan Kulynych · Richard Zemel
• 2020 Poster: Causal Modeling for Fairness In Dynamical Systems »
  Elliot Creager · David Madras · Toniann Pitassi · Richard Zemel
• 2020 Poster: Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach »
  Martin Mladenov · Elliot Creager · Omer Ben-Porat · Kevin Swersky · Richard Zemel · Craig Boutilier
• 2020 Poster: Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling »
  Will Grathwohl · Kuan-Chieh Wang · Joern-Henrik Jacobsen · David Duvenaud · Richard Zemel
• 2019 Workshop: Learning and Reasoning with Graph-Structured Representations »
  Ethan Fetaya · Zhiting Hu · Thomas Kipf · Yujia Li · Xiaodan Liang · Renjie Liao · Raquel Urtasun · Hao Wang · Max Welling · Eric Xing · Richard Zemel
• 2019 Poster: Lorentzian Distance Learning for Hyperbolic Representations »
  Marc Law · Renjie Liao · Jake Snell · Richard Zemel
• 2019 Poster: Flexibly Fair Representation Learning by Disentanglement »
  Elliot Creager · David Madras · Joern-Henrik Jacobsen · Marissa Weis · Kevin Swersky · Toniann Pitassi · Richard Zemel
• 2019 Oral: Lorentzian Distance Learning for Hyperbolic Representations »
  Marc Law · Renjie Liao · Jake Snell · Richard Zemel
• 2019 Oral: Flexibly Fair Representation Learning by Disentanglement »
  Elliot Creager · David Madras · Joern-Henrik Jacobsen · Marissa Weis · Kevin Swersky · Toniann Pitassi · Richard Zemel
• 2019 Poster: Understanding the Origins of Bias in Word Embeddings »
  Marc-Etienne Brunet · Colleen Alkalay-Houlihan · Ashton Anderson · Richard Zemel
• 2019 Oral: Understanding the Origins of Bias in Word Embeddings »
  Marc-Etienne Brunet · Colleen Alkalay-Houlihan · Ashton Anderson · Richard Zemel
• 2018 Poster: Learning Adversarially Fair and Transferable Representations »
  David Madras · Elliot Creager · Toniann Pitassi · Richard Zemel
• 2018 Oral: Learning Adversarially Fair and Transferable Representations »
  David Madras · Elliot Creager · Toniann Pitassi · Richard Zemel
• 2018 Poster: Reviving and Improving Recurrent Back-Propagation »
  Renjie Liao · Yuwen Xiong · Ethan Fetaya · Lisa Zhang · Kijung Yoon · Zachary S Pitkow · Raquel Urtasun · Richard Zemel
• 2018 Poster: Composable Planning with Attributes »
  Amy Zhang · Sainbayar Sukhbaatar · Adam Lerer · Arthur Szlam · Facebook Rob Fergus
• 2018 Poster: Distilling the Posterior in Bayesian Neural Networks »
  Kuan-Chieh Wang · Paul Vicol · James Lucas · Li Gu · Roger Grosse · Richard Zemel
• 2018 Oral: Distilling the Posterior in Bayesian Neural Networks »
  Kuan-Chieh Wang · Paul Vicol · James Lucas · Li Gu · Roger Grosse · Richard Zemel
• 2018 Oral: Composable Planning with Attributes »
  Amy Zhang · Sainbayar Sukhbaatar · Adam Lerer · Arthur Szlam · Facebook Rob Fergus
• 2018 Oral: Reviving and Improving Recurrent Back-Propagation »
  Renjie Liao · Yuwen Xiong · Ethan Fetaya · Lisa Zhang · Kijung Yoon · Zachary S Pitkow · Raquel Urtasun · Richard Zemel
• 2018 Poster: Neural Relational Inference for Interacting Systems »
  Thomas Kipf · Ethan Fetaya · Kuan-Chieh Wang · Max Welling · Richard Zemel
• 2018 Oral: Neural Relational Inference for Interacting Systems »
  Thomas Kipf · Ethan Fetaya · Kuan-Chieh Wang · Max Welling · Richard Zemel
• 2017 Poster: Deep Spectral Clustering Learning »
  Marc Law · Raquel Urtasun · Richard Zemel
• 2017 Talk: Deep Spectral Clustering Learning »
  Marc Law · Raquel Urtasun · Richard Zemel