non-asymptotic convergence

Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspective ALT 2026 DTZO: Distributed Trilevel Zeroth Order Learning with Provable Non-Asymptotic Convergence ICML 2025 ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression UAI 2025 Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality AISTATS 2025 Non-asymptotic Convergence of Training Transformers for Next-token Prediction NeurIPS 2024 Non-parametric Online Change Point Detection on Riemannian Manifolds ICML 2024 Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models ICLR 2024 Non-asymptotic convergence bounds for Sinkhorn iterates and their gradients: a coupling approach. COLT 2023 Faster Non-asymptotic Convergence for Double Q-learning NeurIPS 2021 Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory AISTATS 2020 Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis NeurIPS 2020 Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks AISTATS 2019 Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence ICML 2019 Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization JMLR 2018