stochastic optimization

Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization NeurIPS 2023 Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms NeurIPS 2023 Distributed Stochastic Nested Optimization for Emerging Machine Learning Models: Algorithm and Theory AAAI 2023 Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis. UAI 2023 DOTE: Rethinking (Predictive) WAN Traffic Engineering NSDI 2023 End-to-End Learning for Stochastic Optimization: A Bayesian Perspective ICML 2023 Enhance Robustness of Machine Learning with Improved Efficiency AAAI 2023 Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule ICML 2023 Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers AAAI 2023 Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization ICML 2023 Faster Rates of Convergence to Stationary Points in Differentially Private Optimization ICML 2023 Fast Heterogeneous Federated Learning with Hybrid Client Selection UAI 2023 Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization NeurIPS 2023 Federated Compositional Deep AUC Maximization NeurIPS 2023 First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities NeurIPS 2023 First Order Stochastic Optimization with Oblivious Noise NeurIPS 2023 Follow-the-Perturbed-Leader Achieves Best-of-Both-Worlds for Bandit Problems ALT 2023 Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023 High Probability Bounds for Stochastic Continuous Submodular Maximization AISTATS 2023 High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance ICML 2023 Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds ICML 2023 Improved Powered Stochastic Optimization Algorithms for Large-Scale Machine Learning JMLR 2023 Improved Rate of First Order Algorithms for Entropic Optimal Transport AISTATS 2023 Indirect Adversarial Losses via an Intermediate Distribution for Training GANs WACV 2023 Inverse Reinforcement Learning with the Average Reward Criterion NeurIPS 2023