Mathematics & Optimization

Stochastic $L^\natural$-convex Function Minimization NeurIPS 2021 Stochastic Anderson Mixing for Nonconvex Stochastic Optimization NeurIPS 2021 Stochastic Approximation for Online Tensorial Independent Component Analysis COLT 2021 Stochastic Bandits with Graph Feedback in Non-Stationary Environments AAAI 2021 Stochastic bandits with groups of similar arms. NeurIPS 2021 Stochastic Bandits with Linear Constraints AISTATS 2021 Stochastic Bias-Reduced Gradient Methods NeurIPS 2021 Stochastic block model entropy and broadcasting on trees with survey COLT 2021 Stochastic continuous normalizing flows: training SDEs as ODEs UAI 2021 Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity NeurIPS 2021 Stochastic Graphical Bandits with Adversarial Corruptions AAAI 2021 Stochastic Iterative Graph Matching ICML 2021 Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions ICML 2021 Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge NeurIPS 2021 Stochastic Online Optimization using Kalman Recursion JMLR 2021 Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees NeurIPS 2021 Stochastic Probing with Increasing Precision IJCAI 2021 Stochastic Shortest Path with Adversarially Changing Costs IJCAI 2021 Stochastic Sign Descent Methods: New Algorithms and Better Theory ICML 2021 Storage Fit Learning with Feature Evolvable Streams AAAI 2021 Strategic Behavior is Bliss: Iterative Voting Improves Social Welfare NeurIPS 2021 Strategic Classification in the Dark ICML 2021 Streaming and Distributed Algorithms for Robust Column Subset Selection ICML 2021 Streaming Belief Propagation for Community Detection NeurIPS 2021 Streaming k-PCA: Efficient guarantees for Oja’s algorithm, beyond rank-one updates COLT 2021