Stochastic Methods

On the Efficacy of Sampling Adapters ACL 2023 On the Role of Memory in Robust Opinion Dynamics IJCAI 2023 On the role of model uncertainties in Bayesian optimisation UAI 2023 On the Sublinear Regret of GP-UCB NeurIPS 2023 Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles AISTATS 2023 Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023 Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization NeurIPS 2023 Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits ICML 2023 Optimal Preconditioning and Fisher Adaptive Langevin Sampling NeurIPS 2023 Optimal randomized multilevel Monte Carlo for repeatedly nested expectations ICML 2023 Optimal Sketching Bounds for Sparse Linear Regression AISTATS 2023 Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion ICML 2023 Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model NeurIPS 2023 Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization ICML 2023 Optimistic Whittle Index Policy: Online Learning for Restless Bandits AAAI 2023 Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization NeurIPS 2023 Outlier-Robust Wasserstein DRO NeurIPS 2023 PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023 PASTA: Pessimistic Assortment Optimization ICML 2023 Phase Transitions in the Detection of Correlated Databases ICML 2023 Piecewise Stationary Bandits under Risk Criteria AISTATS 2023 Plateau-Reduced Differentiable Path Tracing CVPR 2023 Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games ICML 2023 Prediction Equilibrium for Dynamic Network Flows JMLR 2023 Predictive safety filter using system level synthesis L4DC 2023