Papers
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
Kyungjae Lee, Hongjun Yang, Sungbin Lim et al.
General Control Functions for Causal Effect Estimation from IVs
Aahlad Puli, Rajesh Ranganath
Reparameterizing Mirror Descent as Gradient Descent
Ehsan Amid, Manfred K. Warmuth
Estimation of Skill Distribution from a Tournament
Ali Jadbabaie, Anuran Makur, Devavrat Shah
Certified Defense to Image Transformations via Randomized Smoothing
Marc Fischer, Maximilian Baader, Martin Vechev
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability
Sitan Chen, Frederic Koehler, Ankur Moitra et al.
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes
Dongsheng Ding, Kaiqing Zhang, Tamer Basar et al.
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
Chencheng Xu, Qiao Liu, Minlie Huang et al.
Finding the Homology of Decision Boundaries with Active Learning
Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy et al.
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning
Woosuk Kwon, Gyeong-In Yu, Eunji Jeong et al.
Greedy inference with structure-exploiting lazy maps
Michael Brennan, Daniele Bigoni, Olivier Zahm et al.
Learning the Geometry of Wave-Based Imaging
Konik Kothari, Maarten de Hoop, Ivan Dokmanić
Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices
John C. Duchi, Oliver Hinder, Andrew Naber et al.
Theory-Inspired Path-Regularized Differential Network Architecture Search
Pan Zhou, Caiming Xiong, Richard Socher et al.
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
Andrew Foong, Wessel Bruinsma, Jonathan Gordon et al.
Adversarial Distributional Training for Robust Deep Learning
Yinpeng Dong, Zhijie Deng, Tianyu Pang et al.
From Finite to Countable-Armed Bandits
Anand Kalvit, Assaf J. Zeevi
An efficient nonconvex reformulation of stagewise convex optimization problems
Rudy R Bunel, Oliver Hinder, Srinadh Bhojanapalli et al.
Self-Supervised Generative Adversarial Compression
Chong Yu, Jeff Pool
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes
Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai et al.
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
Saurabh Kumar, Aviral Kumar, Sergey Levine et al.
Learning Invariants through Soft Unification
Nuri Cingillioglu, Alessandra Russo
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
SEOHYUN KIM, JaeYoo Park, Bohyung Han
Multi-label Contrastive Predictive Coding
Jiaming Song, Stefano Ermon