convergence rate

Principled Preferential Bayesian Optimization ICML 2024 Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems ICML 2024 Prodigy: An Expeditiously Adaptive Parameter-Free Learner ICML 2024 Provable Accelerated Convergence of Nesterov’s Momentum for Deep ReLU Neural Networks ALT 2024 Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks NeurIPS 2024 Provable Acceleration of Nesterov’s Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks IJCAI 2024 Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling NeurIPS 2024 Quantitative Convergences of Lie Group Momentum Optimizers NeurIPS 2024 Random Smoothing Regularization in Kernel Gradient Descent Learning JMLR 2024 Rates of convergence for density estimation with generative adversarial networks JMLR 2024 Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract) COLT 2024 Revisiting Convergence of AdaGrad with Relaxed Assumptions UAI 2024 Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods ICLR 2024 Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networks JMLR 2024 SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding ICML 2024 Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates ICML 2024 Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence ICML 2024 Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions ICML 2024 Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts ICLR 2024 Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024 Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements NeurIPS 2024 Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024 Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NeurIPS 2024 Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates JMLR 2024 Stochastic Weakly Convex Optimization beyond Lipschitz Continuity ICML 2024