stochastic optimization

Efficient Proximal Mapping of the 1-path-norm of Shallow Networks ICML 2020 Escaping Saddle-Point Faster under Interpolation-like Conditions NeurIPS 2020 Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise JMLR 2020 Estimating Stochastic Linear Combination of Non-Linear Regressions AAAI 2020 Extreme Tensoring for Low-Memory Preconditioning ICLR 2020 Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach IJCAI 2020 Finding All ε-Good Arms in Stochastic Bandits NeurIPS 2020 From Finite to Countable-Armed Bandits NeurIPS 2020 Geometric Exploration for Online Control NeurIPS 2020 Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function NeurIPS 2020 ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool NeurIPS 2020 Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards ICML 2020 Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking ICML 2020 Kernel Conditional Moment Test via Maximum Moment Restriction UAI 2020 Kidney Exchange with Inhomogeneous Edge Existence Uncertainty UAI 2020 Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach EMNLP 2020 Large Batch Optimization for Deep Learning: Training BERT in 76 minutes ICLR 2020 Linear bandits with Stochastic Delayed Feedback ICML 2020 Localizing and Amortizing: Efficient Inference for Gaussian Processes ACML 2020 Minibatch Stochastic Approximate Proximal Point Methods NeurIPS 2020 Minimizing Dynamic Regret and Adaptive Regret Simultaneously AISTATS 2020 Model and Reinforcement Learning for Markov Games with Risk Preferences AAAI 2020 Model Selection in Contextual Stochastic Bandit Problems NeurIPS 2020 Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs IJCAI 2020 Observe Before Play: Multi-Armed Bandit with Pre-Observations AAAI 2020