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Poster
Wed 3:30 Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees
Kentaro Kanamori · Takuya Takagi · Ken Kobayashi · Yuichi Ike
Poster
Wed 8:30 Hardness of Learning a Single Neuron with Adversarial Label Noise
Ilias Diakonikolas · Daniel Kane · Pasin Manurangsi · Lisheng Ren
Poster
Mon 10:15 Federated Learning with Buffered Asynchronous Aggregation
John Nguyen · Kshitiz Malik · Hongyuan Zhan · Ashkan Yousefpour · Mike Rabbat · Mani Malek · Dzmitry Huba
Poster
Mon 10:15 Nearly Optimal Algorithms for Level Set Estimation
Blake Mason · Lalit Jain · Subhojyoti Mukherjee · Romain Camilleri · Kevin Jamieson · Robert Nowak
Test Of Time
Tue 10:00 Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
Zico Kolter · Tommi Jaakkola
Poster
Mon 10:15 Finding Nearly Everything within Random Binary Networks
Kartik Sreenivasan · Shashank Rajput · Jy-yong Sohn · Dimitris Papailiopoulos
Poster
Wed 8:30 Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion
Tian Tong · Cong Ma · Ashley Prater-Bennette · Erin Tripp · Yuejie Chi
Poster
Mon 4:30 Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation
Honghao Wei · Xin Liu · Lei Ying
Poster
Mon 10:15 Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs
Jiafan He · Dongruo Zhou · Quanquan Gu
Poster
Wed 8:30 Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes
Hugh Dance · Brooks Paige
Poster
Wed 8:30 Minimax Optimization: The Case of Convex-Submodular
Arman Adibi · Aryan Mokhtari · Hamed Hassani
Poster
Mon 4:30 Robust Probabilistic Time Series Forecasting
TaeHo Yoon · Youngsuk Park · Ernest Ryu · Yuyang Wang