Papers
4,025 papers found
Amortized Rejection Sampling in Universal Probabilistic Programming
Saeid Naderiparizi, Adam Scibior, Andreas Munk et al.
An Alternate Policy Gradient Estimator for Softmax Policies
Shivam Garg, Samuele Tosatto, Yangchen Pan et al.
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
Anas Barakat, Pascal Bianchi, Julien Lehmann
A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center
Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili et al.
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili et al.
An Information-Theoretic Justification for Model Pruning
Berivan Isik, Tsachy Weissman, Albert No
A Non-asymptotic Approach to Best-Arm Identification for Gaussian Bandits
Antoine Barrier, Aurélien Garivier, Tomáš Kocák
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints
Adil Salim, Laurent Condat, Dmitry Kovalev et al.
An Unsupervised Hunt for Gravitational Lenses
Stephen Sheng, Keerthi Vasan G C, Chi Po P Choi et al.
Approximate Function Evaluation via Multi-Armed Bandits
Tavor Z. Baharav, Gary Cheng, Mert Pilanci et al.
Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances
Ruida Zhou, Chao Tian
A Predictive Approach to Bayesian Nonparametric Survival Analysis
Edwin Fong, Brieuc Lehmann
A prior-based approximate latent Riemannian metric
Georgios Arvanitidis, Bogdan M. Georgiev, Bernhard Schölkopf
A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions
Ben Adlam, Jake A. Levinson, Jeffrey Pennington
Are All Linear Regions Created Equal?
Matteo Gamba, Adrian Chmielewski-Anders, Josephine Sullivan et al.
A Single-Timescale Method for Stochastic Bilevel Optimization
Tianyi Chen, Yuejiao Sun, Quan Xiao et al.
A Spectral Perspective of DNN Robustness to Label Noise
Oshrat Bar, Amnon Drory, Raja Giryes
Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches
Hao Wu, Anthony Wirth
Asynchronous Distributed Optimization with Stochastic Delays
Margalit R. Glasgow, Mary Wootters
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits
Chuanhao Li, Hongning Wang
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming
Robin A. Brown, Edward Schmerling, Navid Azizan et al.
A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy
Kevin Bello, Chuyang Ke, Jean Honorio
A Witness Two-Sample Test
Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf et al.
Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning
Xun Qian, Rustem Islamov, Mher Safaryan et al.