Papers
Fast Parallel Algorithms for Statistical Subset Selection Problems
Sharon Qian, Yaron Singer
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes
Matt Jordan, Justin Lewis, Alexandros G Dimakis
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning
Wonjae Kim, Yoonho Lee
Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints
David Simchi-Levi, Yunzong Xu
Online EXP3 Learning in Adversarial Bandits with Delayed Feedback
Ilai Bistritz, Zhengyuan Zhou, Xi Chen et al.
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen, Oscar Li, Daniel Tao et al.
A unified variance-reduced accelerated gradient method for convex optimization
Guanghui Lan, Zhize Li, Yi Zhou
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling
Andrey Kolobov, Yuval Peres, Cheng Lu et al.
Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric
Nirandika Wanigasekara, Christina Yu
Positive-Unlabeled Compression on the Cloud
Yixing Xu, Yunhe Wang, Hanting Chen et al.
Distinguishing Distributions When Samples Are Strategically Transformed
Hanrui Zhang, Yu Cheng, Vincent Conitzer
Optimal Sparse Decision Trees
Xiyang Hu, Cynthia Rudin, Margo Seltzer
Metamers of neural networks reveal divergence from human perceptual systems
Jenelle Feather, Alex Durango, Ray Gonzalez et al.
Invert to Learn to Invert
Patrick Putzky, Max Welling
Cross-sectional Learning of Extremal Dependence among Financial Assets
Xing Yan, Qi Wu, Wen Zhang
(Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs
Boaz Barak, Chi-Ning Chou, Zhixian Lei et al.
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Jinwoo Choi, Chen Gao, Joseph C. E. Messou et al.
The Impact of Regularization on High-dimensional Logistic Regression
Fariborz Salehi, Ehsan Abbasi, Babak Hassibi
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator
Karl Krauth, Stephen Tu, Benjamin Recht
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
Zhihui Zhu, Tianyu Ding, Daniel Robinson et al.
Coordinated hippocampal-entorhinal replay as structural inference
Talfan Evans, Neil Burgess
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
Shanshan Wu, Sujay Sanghavi, Alexandros G Dimakis
Sliced Gromov-Wasserstein
Vayer Titouan, Rémi Flamary, Nicolas Courty et al.