stochastic optimization

An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024 An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization AISTATS 2024 Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization ICLR 2024 A Simple and Optimal Approach for Universal Online Learning with Gradient Variations NeurIPS 2024 Big Learning Expectation Maximization AAAI 2024 Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems AISTATS 2024 Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NeurIPS 2024 Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework NeurIPS 2024 Combinatorial Stochastic-Greedy Bandit AAAI 2024 Combining Axes Preconditioners through Kronecker Approximation for Deep Learning ICLR 2024 Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints AISTATS 2024 Contextual Linear Optimization with Bandit Feedback NeurIPS 2024 Contextual Pandora’s Box AAAI 2024 CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption ALT 2024 Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization AAAI 2024 Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate AISTATS 2024 Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions NeurIPS 2024 Decentralized Sum-of-Nonconvex Optimization AAAI 2024 Decision-Focused Learning with Directional Gradients NeurIPS 2024 Deep Learning for Computing Convergence Rates of Markov Chains NeurIPS 2024 Differentially Private Optimization with Sparse Gradients NeurIPS 2024 Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences NeurIPS 2024 Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference AAAI 2024 Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction NeurIPS 2024 Efficient Training of Language Models with Compact and Consistent Next Token Distributions ACL 2024