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Optimization

1,207 papers

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Papers

Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space ICML 2023
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability ICML 2023
Competitive Gradient Optimization ICML 2023
A Law of Robustness beyond Isoperimetry ICML 2023
Delay-agnostic Asynchronous Coordinate Update Algorithm ICML 2023
Coordinate Descent Methods for Fractional Minimization ICML 2023
Sequential Counterfactual Risk Minimization ICML 2023
Matrix Estimation for Individual Fairness ICML 2023
On the Optimality of Misspecified Kernel Ridge Regression ICML 2023
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests ICML 2023
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression ICML 2023
A Neural State-Space Modeling Approach to Efficient Speech Separation INTERSPEECH 2023
A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs JMLR 2023
A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees JMLR 2023
Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023
Fundamental limits and algorithms for sparse linear regression with sublinear sparsity JMLR 2023
A Unified Framework for Optimization-Based Graph Coarsening JMLR 2023
Stochastic Optimization under Distributional Drift JMLR 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023
q-Learning in Continuous Time JMLR 2023
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification JMLR 2023
A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition JMLR 2023
An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023
Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian Models JMLR 2023