Stochastic Methods

Nearly-Tight Bounds for Testing Histogram Distributions NeurIPS 2022 Near-optimal Thompson sampling-based algorithms for differentially private stochastic bandits UAI 2022 Network change point localisation under local differential privacy NeurIPS 2022 Neur2SP: Neural Two-Stage Stochastic Programming NeurIPS 2022 Neural Stochastic Dual Dynamic Programming ICLR 2022 Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems JMLR 2022 Nonparametric Involutive Markov Chain Monte Carlo ICML 2022 Non-Probability Sampling Network for Stochastic Human Trajectory Prediction CVPR 2022 On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping JMLR 2022 On Almost Sure Convergence Rates of Stochastic Gradient Methods COLT 2022 On Biased Stochastic Gradient Estimation JMLR 2022 Online Bin Packing with Predictions IJCAI 2022 Online Learning and Pricing for Network Revenue Management with Reusable Resources NeurIPS 2022 Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards ICML 2022 Online Learning for Min Sum Set Cover and Pandora’s Box ICML 2022 Online Nonnegative CP-dictionary Learning for Markovian Data JMLR 2022 Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback ICML 2022 On Scalable Testing of Samplers NeurIPS 2022 On the Complexity of Approximating Multimarginal Optimal Transport JMLR 2022 On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum ICML 2022 On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging AISTATS 2022 On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond NeurIPS 2022 On the Efficiency of Entropic Regularized Algorithms for Optimal Transport JMLR 2022 On The Memory Complexity of Uniformity Testing COLT 2022 On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory NeurIPS 2022