convergence rate

FOSI: Hybrid First and Second Order Optimization ICLR 2024 Generalization Error of Graph Neural Networks in the Mean-field Regime ICML 2024 Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing NeurIPS 2024 Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization ICML 2024 Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization NeurIPS 2024 Gradient Guidance for Diffusion Models: An Optimization Perspective NeurIPS 2024 Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NeurIPS 2024 Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate ICLR 2024 High-dimensional (Group) Adversarial Training in Linear Regression NeurIPS 2024 High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024 How Free is Parameter-Free Stochastic Optimization? ICML 2024 How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization ICLR 2024 Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control ICLR 2024 Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects ICML 2024 Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts? ICML 2024 Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate AISTATS 2024 Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency COLT 2024 Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis ICML 2024 Lexicographic Optimization: Algorithms and Stability AISTATS 2024 Local and Adaptive Mirror Descents in Extensive-Form Games NeurIPS 2024 LoRA-GA: Low-Rank Adaptation with Gradient Approximation NeurIPS 2024 LPGD: A General Framework for Backpropagation through Embedded Optimization Layers ICML 2024 Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach NeurIPS 2024 MoMo: Momentum Models for Adaptive Learning Rates ICML 2024 More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization JMLR 2024