Papers
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Mark Bun, Thomas Steinke
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang, Songwei Ge, Zachary Lipton et al.
A Self Validation Network for Object-Level Human Attention Estimation
Zehua Zhang, Chen Yu, David Crandall
Robust and Communication-Efficient Collaborative Learning
Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari et al.
Defending Against Neural Fake News
Rowan Zellers, Ari Holtzman, Hannah Rashkin et al.
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback
Arun Verma, Manjesh Hanawal, Arun Rajkumar et al.
Learning Positive Functions with Pseudo Mirror Descent
Yingxiang Yang, Haoxiang Wang, Negar Kiyavash et al.
Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs
Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
PAC-Bayes Un-Expected Bernstein Inequality
Zakaria Mhammedi, Peter Grünwald, Benjamin Guedj
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints
Sebastian Tschiatschek, Ahana Ghosh, Luis Haug et al.
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle
Simon S Du, Yuping Luo, Ruosong Wang et al.
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
Quanfu Fan, Chun-Fu (Richard) Chen, Hilde Kuehne et al.
A Geometric Perspective on Optimal Representations for Reinforcement Learning
Marc Bellemare, Will Dabney, Robert Dadashi et al.
Stability of Graph Scattering Transforms
Fernando Gama, Alejandro Ribeiro, Joan Bruna
Optimizing Generalized Rate Metrics with Three Players
Harikrishna Narasimhan, Andrew Cotter, Maya Gupta
On Fenchel Mini-Max Learning
Chenyang Tao, Liqun Chen, Shuyang Dai et al.
Differentially Private Distributed Data Summarization under Covariate Shift
Kanthi Sarpatwar, Karthikeyan Shanmugam, Venkata Sitaramagiridharganesh Ganapavarapu et al.
Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
Shuo Yang, Yanyao Shen, Sujay Sanghavi
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning
Nicolas Carion, Nicolas Usunier, Gabriel Synnaeve et al.
Complexity of Highly Parallel Non-Smooth Convex Optimization
Sebastien Bubeck, Qijia Jiang, Yin-Tat Lee et al.
Private Stochastic Convex Optimization with Optimal Rates
Raef Bassily, Vitaly Feldman, Kunal Talwar et al.
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG
Yujia Jin, Aaron Sidford
Mapping State Space using Landmarks for Universal Goal Reaching
Zhiao Huang, Fangchen Liu, Hao Su
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
Vasilis Syrgkanis, Victor Lei, Miruna Oprescu et al.