More from the Same Authors

• 2021 : Understanding Instance-based Interpretability of Variational Auto-Encoders »
  · Zhifeng Kong · Kamalika Chaudhuri
• 2021 : Privacy Amplification by Bernoulli Sampling »
  Jacob Imola · Kamalika Chaudhuri
• 2021 : A Shuffling Framework For Local Differential Privacy »
  Casey M Meehan · Amrita Roy Chowdhury · Kamalika Chaudhuri · Somesh Jha
• 2021 : Privacy Amplification by Subsampling in Time Domain »
  Tatsuki Koga · Casey M Meehan · Kamalika Chaudhuri
• 2021 : Online Sub-Sampling for Reinforcement Learning with General Function Approximation »
  Dingwen Kong · Ruslan Salakhutdinov · Ruosong Wang · Lin Yang
• 2022 : Understanding Rare Spurious Correlations in Neural Networks »
  Yao-Yuan Yang · Chi-Ning Chou · Kamalika Chaudhuri
• 2022 Poster: Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs »
  Tianwei Ni · Benjamin Eysenbach · Ruslan Salakhutdinov
• 2022 Poster: Thompson Sampling for Robust Transfer in Multi-Task Bandits »
  Zhi Wang · Chicheng Zhang · Kamalika Chaudhuri
• 2022 Spotlight: Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs »
  Tianwei Ni · Benjamin Eysenbach · Ruslan Salakhutdinov
• 2022 Spotlight: Thompson Sampling for Robust Transfer in Multi-Task Bandits »
  Zhi Wang · Chicheng Zhang · Kamalika Chaudhuri
• 2022 Poster: Bounding Training Data Reconstruction in Private (Deep) Learning »
  Chuan Guo · Brian Karrer · Kamalika Chaudhuri · Laurens van der Maaten
• 2022 Oral: Bounding Training Data Reconstruction in Private (Deep) Learning »
  Chuan Guo · Brian Karrer · Kamalika Chaudhuri · Laurens van der Maaten
• 2021 : Discussion Panel #2 »
  Bo Li · Nicholas Carlini · Andrzej Banburski · Kamalika Chaudhuri · Will Xiao · Cihang Xie
• 2021 : Invited Talk #9 »
  Kamalika Chaudhuri
• 2021 : Invited Talk: Kamalika Chaudhuri »
  Kamalika Chaudhuri
• 2021 : Invited Talk: Kamalika Chaudhuri »
  Kamalika Chaudhuri
• 2021 : Live Panel Discussion »
  Thomas Dietterich · Chelsea Finn · Kamalika Chaudhuri · Yarin Gal · Uri Shalit
• 2021 Poster: Towards Understanding and Mitigating Social Biases in Language Models »
  Paul Liang · Chiyu Wu · Louis-Philippe Morency · Ruslan Salakhutdinov
• 2021 Poster: Reasoning Over Virtual Knowledge Bases With Open Predicate Relations »
  Haitian Sun · Patrick Verga · Bhuwan Dhingra · Ruslan Salakhutdinov · William Cohen
• 2021 Spotlight: Reasoning Over Virtual Knowledge Bases With Open Predicate Relations »
  Haitian Sun · Patrick Verga · Bhuwan Dhingra · Ruslan Salakhutdinov · William Cohen
• 2021 Spotlight: Towards Understanding and Mitigating Social Biases in Language Models »
  Paul Liang · Chiyu Wu · Louis-Philippe Morency · Ruslan Salakhutdinov
• 2021 Poster: Sample Complexity of Robust Linear Classification on Separated Data »
  Robi Bhattacharjee · Somesh Jha · Kamalika Chaudhuri
• 2021 Spotlight: Sample Complexity of Robust Linear Classification on Separated Data »
  Robi Bhattacharjee · Somesh Jha · Kamalika Chaudhuri
• 2021 Poster: Instabilities of Offline RL with Pre-Trained Neural Representation »
  Ruosong Wang · Yifan Wu · Ruslan Salakhutdinov · Sham Kakade
• 2021 Spotlight: Instabilities of Offline RL with Pre-Trained Neural Representation »
  Ruosong Wang · Yifan Wu · Ruslan Salakhutdinov · Sham Kakade
• 2021 Poster: Information Obfuscation of Graph Neural Networks »
  Peiyuan Liao · Han Zhao · Keyulu Xu · Tommi Jaakkola · Geoff Gordon · Stefanie Jegelka · Ruslan Salakhutdinov
• 2021 Poster: Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning »
  Yue Wu · Shuangfei Zhai · Nitish Srivastava · Joshua M Susskind · Jian Zhang · Ruslan Salakhutdinov · Hanlin Goh
• 2021 Poster: On Proximal Policy Optimization's Heavy-tailed Gradients »
  Saurabh Garg · Joshua Zhanson · Emilio Parisotto · Adarsh Prasad · Zico Kolter · Zachary Lipton · Sivaraman Balakrishnan · Ruslan Salakhutdinov · Pradeep Ravikumar
• 2021 Poster: Connecting Interpretability and Robustness in Decision Trees through Separation »
  Michal Moshkovitz · Yao-Yuan Yang · Kamalika Chaudhuri
• 2021 Spotlight: On Proximal Policy Optimization's Heavy-tailed Gradients »
  Saurabh Garg · Joshua Zhanson · Emilio Parisotto · Adarsh Prasad · Zico Kolter · Zachary Lipton · Sivaraman Balakrishnan · Ruslan Salakhutdinov · Pradeep Ravikumar
• 2021 Spotlight: Information Obfuscation of Graph Neural Networks »
  Peiyuan Liao · Han Zhao · Keyulu Xu · Tommi Jaakkola · Geoff Gordon · Stefanie Jegelka · Ruslan Salakhutdinov
• 2021 Spotlight: Connecting Interpretability and Robustness in Decision Trees through Separation »
  Michal Moshkovitz · Yao-Yuan Yang · Kamalika Chaudhuri
• 2021 Spotlight: Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning »
  Yue Wu · Shuangfei Zhai · Nitish Srivastava · Joshua M Susskind · Jian Zhang · Ruslan Salakhutdinov · Hanlin Goh
• 2020 Workshop: Workshop on Learning in Artificial Open Worlds »
  Arthur Szlam · Katja Hofmann · Ruslan Salakhutdinov · Noboru Kuno · William Guss · Kavya Srinet · Brandon Houghton
• 2020 Workshop: Bridge Between Perception and Reasoning: Graph Neural Networks & Beyond »
  Jian Tang · Le Song · Jure Leskovec · Renjie Liao · Yujia Li · Sanja Fidler · Richard Zemel · Ruslan Salakhutdinov
• 2020 Poster: When are Non-Parametric Methods Robust? »
  Robi Bhattacharjee · Kamalika Chaudhuri
• 2018 Poster: Active Learning with Logged Data »
  Songbai Yan · Kamalika Chaudhuri · Tara Javidi
• 2018 Poster: Analyzing the Robustness of Nearest Neighbors to Adversarial Examples »
  Yizhen Wang · Somesh Jha · Kamalika Chaudhuri
• 2018 Poster: Transformation Autoregressive Networks »
  Junier Oliva · Kumar Avinava Dubey · Manzil Zaheer · Barnabás Póczos · Ruslan Salakhutdinov · Eric Xing · Jeff Schneider
• 2018 Oral: Active Learning with Logged Data »
  Songbai Yan · Kamalika Chaudhuri · Tara Javidi
• 2018 Oral: Analyzing the Robustness of Nearest Neighbors to Adversarial Examples »
  Yizhen Wang · Somesh Jha · Kamalika Chaudhuri
• 2018 Oral: Transformation Autoregressive Networks »
  Junier Oliva · Kumar Avinava Dubey · Manzil Zaheer · Barnabás Póczos · Ruslan Salakhutdinov · Eric Xing · Jeff Schneider
• 2018 Poster: Structured Control Nets for Deep Reinforcement Learning »
  Mario Srouji · Jian Zhang · Ruslan Salakhutdinov
• 2018 Poster: Gated Path Planning Networks »
  Lisa Lee · Emilio Parisotto · Devendra Singh Chaplot · Eric Xing · Ruslan Salakhutdinov
• 2018 Oral: Structured Control Nets for Deep Reinforcement Learning »
  Mario Srouji · Jian Zhang · Ruslan Salakhutdinov
• 2018 Oral: Gated Path Planning Networks »
  Lisa Lee · Emilio Parisotto · Devendra Singh Chaplot · Eric Xing · Ruslan Salakhutdinov
• 2017 Workshop: Picky Learners: Choosing Alternative Ways to Process Data. »
  Corinna Cortes · Kamalika Chaudhuri · Giulia DeSalvo · Ningshan Zhang · Chicheng Zhang
• 2017 Poster: Toward Controlled Generation of Text »
  Zhiting Hu · Zichao Yang · Xiaodan Liang · Ruslan Salakhutdinov · Eric Xing
• 2017 Poster: Improved Variational Autoencoders for Text Modeling using Dilated Convolutions »
  Zichao Yang · Zhiting Hu · Ruslan Salakhutdinov · Taylor Berg-Kirkpatrick
• 2017 Talk: Improved Variational Autoencoders for Text Modeling using Dilated Convolutions »
  Zichao Yang · Zhiting Hu · Ruslan Salakhutdinov · Taylor Berg-Kirkpatrick
• 2017 Talk: Toward Controlled Generation of Text »
  Zhiting Hu · Zichao Yang · Xiaodan Liang · Ruslan Salakhutdinov · Eric Xing
• 2017 Poster: Active Heteroscedastic Regression »
  Kamalika Chaudhuri · Prateek Jain · Nagarajan Natarajan
• 2017 Talk: Active Heteroscedastic Regression »
  Kamalika Chaudhuri · Prateek Jain · Nagarajan Natarajan