Papers
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
Yongkai Wu, Lu Zhang, Xintao Wu et al.
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia et al.
Invariance and identifiability issues for word embeddings
Rachel Carrington, Karthik Bharath, Simon Preston
FreeAnchor: Learning to Match Anchors for Visual Object Detection
Xiaosong Zhang, Fang Wan, Chang Liu et al.
Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations
Andrew Spielberg, Allan Zhao, Yuanming Hu et al.
Model Selection for Contextual Bandits
Dylan J Foster, Akshay Krishnamurthy, Haipeng Luo
A New Distribution on the Simplex with Auto-Encoding Applications
Andrew Stirn, Tony Jebara, David Knowles
On the Correctness and Sample Complexity of Inverse Reinforcement Learning
Abi Komanduru, Jean Honorio
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series
Yulia Rubanova, Ricky T. Q. Chen, David K. Duvenaud
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response
Fan Zhou, Tengfei Li, Haibo Zhou et al.
Provably robust boosted decision stumps and trees against adversarial attacks
Maksym Andriushchenko, Matthias Hein
Facility Location Problem in Differential Privacy Model Revisited
Yunus Esencayi, Marco Gaboardi, Shi Li et al.
PHYRE: A New Benchmark for Physical Reasoning
Anton Bakhtin, Laurens van der Maaten, Justin Johnson et al.
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
Satoshi Tsutsui, Yanwei Fu, David Crandall
Differentially Private Covariance Estimation
Kareem Amin, Travis Dick, Alex Kulesza et al.
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
Shashank Rajput, Hongyi Wang, Zachary Charles et al.
Bootstrapping Upper Confidence Bound
Botao Hao, Yasin Abbasi Yadkori, Zheng Wen et al.
Information-Theoretic Confidence Bounds for Reinforcement Learning
Xiuyuan Lu, Benjamin Van Roy
Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach
Shuyue Hu, Chin-wing Leung, Ho-fung Leung
Faster Boosting with Smaller Memory
Julaiti Alafate, Yoav S Freund
Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms
Vikas Garg, Tamar Pichkhadze
First-order methods almost always avoid saddle points: The case of vanishing step-sizes
Ioannis Panageas, Georgios Piliouras, Xiao Wang
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces
Yu Qi, Bin Liu, Yueming Wang et al.
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning
Wenhao Yang, Xiang Li, Zhihua Zhang