Optimization
1,521 papers
Papers per year
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28
33
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81
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Papers
Alias-Free Mamba Neural Operator
NeurIPS 2024
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
NeurIPS 2024
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization
AISTATS 2024
Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields
CVPR 2024
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
NeurIPS 2024
Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions
NeurIPS 2024
A Neural Height-Map Approach for the Binocular Photometric Stereo Problem
WACV 2024
An Inexact Projected Regularized Newton Method for Fused Zero-norms Regularization Problems
JMLR 2024
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations
AAAI 2024
A Primal-Dual Algorithm for Hybrid Federated Learning
AAAI 2024
A Primal-Dual Approach to Solving Variational Inequalities with General Constraints
ICLR 2024
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints
NeurIPS 2024
A Provably Accurate Randomized Sampling Algorithm for Logistic Regression
AAAI 2024
A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation
AAAI 2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization
AAAI 2024
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms
AISTATS 2024
A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of Θ(T^2/3) and its Application to Best-of-Both-Worlds
NeurIPS 2024
A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
ICML 2024
A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees
AAAI 2024
Asynchronous Randomized Trace Estimation
AISTATS 2024
Atomic Recovery Property for Multi-view Subspace-Preserving Recovery
IJCAI 2024
A two-scale Complexity Measure for Deep Learning Models
NeurIPS 2024
Big Learning Expectation Maximization
AAAI 2024
Boosting Offline Optimizers with Surrogate Sensitivity
ICML 2024
Boundary Decomposition for Nadir Objective Vector Estimation
NeurIPS 2024