Stochastic Methods

Regularized online DR-submodular optimization UAI 2023 Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD JMLR 2023 Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis NeurIPS 2023 Revisiting Sampling for Combinatorial Optimization ICML 2023 Revisiting Simple Regret: Fast Rates for Returning a Good Arm ICML 2023 Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023 Riemannian stochastic optimization methods avoid strict saddle points NeurIPS 2023 Risk-limiting financial audits via weighted sampling without replacement UAI 2023 Robust and private stochastic linear bandits ICML 2023 Robust Linear Regression for General Feature Distribution AISTATS 2023 Robust Load Balancing with Machine Learned Advice JMLR 2023 Robust Quickest Change Detection for Unnormalized Models UAI 2023 Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise IJCAI 2023 Runtime Analysis for the NSGA-II: Provable Speed-Ups from Crossover AAAI 2023 Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms NeurIPS 2023 Sampling-based Nyström Approximation and Kernel Quadrature ICML 2023 Sampling Ex-Post Group-Fair Rankings IJCAI 2023 Sampling random graph homomorphisms and applications to network data analysis JMLR 2023 Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health AAAI 2023 ScaleDB: A Scalable, Asynchronous In-Memory Database OSDI 2023 Scaling integer arithmetic in probabilistic programs UAI 2023 Score-based Quickest Change Detection for Unnormalized Models AISTATS 2023 Separate but Equal: Equality in Belief Propagation for Single Cycle Graphs AAAI 2023 SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization ICLR 2023 SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance ICML 2023