Mathematics & Optimization

Sequential Kernelized Independence Testing ICML 2023 Sequential Predictive Two-Sample and Independence Testing NeurIPS 2023 SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization ICLR 2023 (S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability NeurIPS 2023 SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance ICML 2023 Shape Analysis of Euclidean Curves under Frenet-Serret Framework ICCV 2023 Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation JMLR 2023 Sharper Bounds for ℓ_p Sensitivity Sampling ICML 2023 Sharp Spectral Rates for Koopman Operator Learning NeurIPS 2023 SharpSSAT: A Witness-Generating Stochastic Boolean Satisfiability Solver AAAI 2023 Sharp thresholds in inference of planted subgraphs COLT 2023 Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances ICML 2023 SHEPHERD: Serving DNNs in the Wild NSDI 2023 Shhh! The Logic of Clandestine Operations IJCAI 2023 Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning NSDI 2023 Short-lived High-volume Bandits ICML 2023 Should you marginalize over possible tokenizations? ACL 2023 Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps AAAI 2023 SIGMA: Scale-Invariant Global Sparse Shape Matching ICCV 2023 Signed Laplacian Graph Neural Networks AAAI 2023 SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning NeurIPS 2023 Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities NeurIPS 2023 Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints COLT 2023 Simplex Random Features ICML 2023 Simplification and Improvement of MMS Approximation IJCAI 2023