conftrace_

convergence rate

607 papers

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Co-occurring keywords

stochastic gradient descent (1091) convex optimization (1321) stochastic optimization (1060) gradient descent (1144) convergence analysis (395) non-convex optimization (547) nonconvex optimization (316) variance reduction (523) stochastic gradient (296) learning theory (519)

Papers

autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024
Adam with model exponential moving average is effective for nonconvex optimization NIPS 2024
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling NIPS 2024
Performative Control for Linear Dynamical Systems NIPS 2024
Deep Learning for Computing Convergence Rates of Markov Chains NIPS 2024
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NIPS 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024
Optimal First-Order Algorithms as a Function of Inequalities JMLR 2024
Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach NIPS 2024
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML NIPS 2024
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NIPS 2024
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions NIPS 2024
Distribution Learning via Neural Differential Equations: A Nonparametric Statistical Perspective JMLR 2024
Provable Acceleration of Nesterov’s Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks IJCAI 2024
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts AAAI 2024
Consistent Multiclass Algorithms for Complex Metrics and Constraints JMLR 2024
Parameter-Agnostic Optimization under Relaxed Smoothness AISTATS 2024
Faster Convergence with MultiWay Preferences AISTATS 2024
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems AISTATS 2024
Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method AISTATS 2024
Lexicographic Optimization: Algorithms and Stability AISTATS 2024
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression AISTATS 2024
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024
Compressed and distributed least-squares regression: convergence rates with applications to federated learning JMLR 2024