Stochastic Methods

A Simple Unified Framework for High Dimensional Bandit Problems ICML 2022 A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences NeurIPS 2022 A Single-Timescale Method for Stochastic Bilevel Optimization AISTATS 2022 A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms ICML 2022 A Survey of Risk-Aware Multi-Armed Bandits IJCAI 2022 Asymptotically-Optimal Gaussian Bandits with Side Observations ICML 2022 Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches AISTATS 2022 Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms JMLR 2022 Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective NeurIPS 2022 Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources ALT 2022 Asymptotic Network Independence and Step-Size for a Distributed Subgradient Method JMLR 2022 Asymptotics of smoothed Wasserstein distances in the small noise regime NeurIPS 2022 Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape JMLR 2022 A Temporal Extension of Latent Dirichlet Allocation for Unsupervised Acoustic Unit Discovery Interspeech 2022 A Unified Convergence Theorem for Stochastic Optimization Methods NeurIPS 2022 A Variant of Anderson Mixing with Minimal Memory Size NeurIPS 2022 BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit IJCAI 2022 Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms NeurIPS 2022 Bayesian Optimization under Stochastic Delayed Feedback ICML 2022 Bayesian quantile and expectile optimisation UAI 2022 Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting AAAI 2022 Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent JMLR 2022 Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity ICML 2022 Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets JMLR 2022 Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022