Stochastic Methods

Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization ICML 2022 Randomized Stochastic Gradient Descent Ascent AISTATS 2022 Rapid Convergence of Informed Importance Tempering AISTATS 2022 Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems NeurIPS 2022 Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning NeurIPS 2022 RECAPP: Crafting a More Efficient Catalyst for Convex Optimization ICML 2022 Reconstruction on Trees and Low-Degree Polynomials NeurIPS 2022 Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization AISTATS 2022 Rejection sampling from shape-constrained distributions in sublinear time AISTATS 2022 Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization NeurIPS 2022 Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022 Robust Generalized Method of Moments: A Finite Sample Viewpoint NeurIPS 2022 Robust Multi-Objective Bayesian Optimization Under Input Noise ICML 2022 Robustness in Multi-Objective Submodular Optimization: a Quantile Approach ICML 2022 Robustness to Unbounded Smoothness of Generalized SignSGD NeurIPS 2022 Robust Training in High Dimensions via Block Coordinate Geometric Median Descent AISTATS 2022 ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm COLT 2022 Rotting Infinitely Many-Armed Bandits ICML 2022 Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables IJCAI 2022 Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability AAAI 2022 SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems NeurIPS 2022 Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees NeurIPS 2022 Scaling Structured Inference with Randomization ICML 2022 Score-Based Diffusion meets Annealed Importance Sampling NeurIPS 2022 Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations ICML 2022