conftrace_

stochastic optimization

1,137 papers

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SO

Co-occurring keywords · papers mentioning both

regret bound (172) non-convex optimization (141) variance reduction (138) online learning (132) multi-armed bandit (117) convex optimization (116) convergence rate (94) stochastic gradient descent (80) gradient descent (65) convergence analysis (53)

Papers

PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization AAAI 2025 Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games ICML 2025 Riemannian Bilevel Optimization JMLR 2025 Stability and Generalization for Stochastic (Compositional) Optimizations IJCAI 2025 Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025 Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees AISTATS 2025 Stochastic Interior-Point Methods for Smooth Conic Optimization with Applications JMLR 2025 Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback AAAI 2025 Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold ICLR 2025 Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks AISTATS 2025 Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics ICLR 2025 Towards Faster Decentralized Stochastic Optimization with Communication Compression ICLR 2025 Training-Free Diffusion Model Alignment with Sampling Demons ICLR 2025 VFOSA: Variance-Reduced Fast Operator Splitting Algorithms for Generalized Equations JMLR 2025 When Extragradient Meets PAGE: Bridging Two Giants to Boost Variational Inequalities UAI 2025 Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions AAAI 2025 Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise ICLR 2024 Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks ICLR 2024 Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions NeurIPS 2024 ADOPT: Modified Adam Can Converge with Any β_2 with the Optimal Rate NeurIPS 2024 A Framework for Bilevel Optimization on Riemannian Manifolds NeurIPS 2024 A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024 A Homogenization Approach for Gradient-Dominated Stochastic Optimization UAI 2024 A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization AISTATS 2024 An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness NeurIPS 2024