Stochastic Methods

Direct-Search for a Class of Stochastic Min-Max Problems AISTATS 2021 Disjunctive Temporal Problems under Structural Restrictions AAAI 2021 Distributed Covariance Steering with Consensus ADMM for Stochastic Multi-Agent Systems RSS 2021 Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition NeurIPS 2021 Distributed Zero-Order Optimization under Adversarial Noise NeurIPS 2021 Distributionally Robust Optimization with Markovian Data ICML 2021 Distributional Reinforcement Learning for Multi-Dimensional Reward Functions NeurIPS 2021 Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship AISTATS 2021 DORO: Distributional and Outlier Robust Optimization ICML 2021 Doubly non-central beta matrix factorization for DNA methylation data UAI 2021 Dual-Mandate Patrols: Multi-Armed Bandits for Green Security AAAI 2021 Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models NeurIPS 2021 Dynamic Trace Estimation NeurIPS 2021 Edge Sampling Using Local Network Information JMLR 2021 EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback NeurIPS 2021 Efficient and Local Parallel Random Walks NeurIPS 2021 Efficient Coreset Constructions via Sensitivity Sampling ACML 2021 Efficient debiased evidence estimation by multilevel Monte Carlo sampling UAI 2021 Efficiently Explaining CSPs with Unsatisfiable Subset Optimization IJCAI 2021 Efficient online inference for nonparametric mixture models UAI 2021 Efficient Truncated Linear Regression with Unknown Noise Variance NeurIPS 2021 Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods CVPR 2021 Epsilon Best Arm Identification in Spectral Bandits IJCAI 2021 Escaping Local Optima with Non-Elitist Evolutionary Algorithms AAAI 2021 Escaping Saddle Points with Compressed SGD NeurIPS 2021