Papers
Listening to Sounds of Silence for Speech Denoising
Ruilin Xu, Rundi Wu, Yuko Ishiwaka et al.
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
Virginia Rutten, Alberto Bernacchia, Maneesh Sahani et al.
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?
Vitaly Kurin, Saad Godil, Shimon Whiteson et al.
Empirical Likelihood for Contextual Bandits
Nikos Karampatziakis, John Langford, Paul Mineiro
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
Kai Wang, Bryan Wilder, Andrew Perrault et al.
The Pitfalls of Simplicity Bias in Neural Networks
Harshay Shah, Kaustav Tamuly, Aditi Raghunathan et al.
Exploiting the Surrogate Gap in Online Multiclass Classification
Dirk van der Hoeven
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
Amin Jaber, Murat Kocaoglu, Karthikeyan Shanmugam et al.
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification
Francesca Mignacco, Florent Krzakala, Pierfrancesco Urbani et al.
Online Linear Optimization with Many Hints
Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar et al.
Optimal Learning from Verified Training Data
Nicholas Bishop, Long Tran-Thanh, Enrico Gerding
Learning with Differentiable Pertubed Optimizers
Quentin Berthet, Mathieu Blondel, Olivier Teboul et al.
A Boolean Task Algebra for Reinforcement Learning
Geraud Nangue Tasse, Steven James, Benjamin Rosman
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation
Han Zhao, Jianfeng Chi, Yuan Tian et al.
Universal guarantees for decision tree induction via a higher-order splitting criterion
Guy Blanc, Neha Gupta, Jane Lange et al.
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus et al.
Color Visual Illusions: A Statistics-based Computational Model
Elad Hirsch, Ayellet Tal
Learning Rich Rankings
Arjun Seshadri, Stephen Ragain, Johan Ugander
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
Yaodong Yu, Kwan Ho Ryan Chan, Chong You et al.
Simple and Fast Algorithm for Binary Integer and Online Linear Programming
Xiaocheng Li, Chunlin Sun, Yinyu Ye
CoinDICE: Off-Policy Confidence Interval Estimation
Bo Dai, Ofir Nachum, Yinlam Chow et al.
Projection Robust Wasserstein Distance and Riemannian Optimization
Tianyi Lin, Chenyou Fan, Nhat Ho et al.
Minimax Bounds for Generalized Linear Models
Kuan-Yun Lee, Thomas Courtade
Bayesian Optimization for Iterative Learning
Vu Nguyen, Sebastian Schulze, Michael Osborne
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures
Julien Launay, Iacopo Poli, François Boniface et al.