conftrace_

gradient method

29 papers

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Co-occurring keywords

gradient descent (1144) convex optimization (1321) stochastic gradient (296) stochastic optimization (1060) matrix completion (356) convergence analysis (395) stochastic gradient descent (1091) convergence rate (607) sinkhorn algorithm (64) bilevel optimization (194)

Papers

On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods AAAI 2024
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods AISTATS 2024
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error JMLR 2023
Polynomial Preconditioning for Gradient Methods ICML 2023
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks AISTATS 2023
Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices NIPS 2023
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods ICML 2023
A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization NIPS 2023
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria ICML 2022
On Convergence of Lookahead in Smooth Games AISTATS 2022
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity ICML 2022
Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods AISTATS 2022
A Unified Convergence Analysis for Shuffling-Type Gradient Methods JMLR 2021
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization NIPS 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond NIPS 2021
On Estimation in Latent Variable Models ICML 2021
Decentralized gradient methods: does topology matter? AISTATS 2020
Gradient Temporal-Difference Learning with Regularized Corrections ICML 2020
Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations AAAI 2020
A Stochastic Composite Gradient Method with Incremental Variance Reduction NIPS 2019
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes AISTATS 2019
A New Defense Against Adversarial Images: Turning a Weakness into a Strength NIPS 2019
Necessary and Sufficient Geometries for Gradient Methods NIPS 2019
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning NIPS 2018
Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework ICML 2018