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← Optimization
Mathematics & Optimization
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Optimization
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Optimization
1203 directly classified papers
Papers per year
2001: 1
2005: 1
2006: 8
2007: 5
2008: 3
2009: 6
2010: 5
2011: 17
2012: 24
2013: 52
2014: 41
2015: 36
2016: 36
2017: 47
2018: 72
2019: 76
2020: 106
2021: 120
2022: 126
2023: 128
2024: 203
2025: 88
2026: 2
Papers
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
NIPS 2024
Parameter-Agnostic Optimization under Relaxed Smoothness
AISTATS 2024
A Primal-Dual Algorithm for Hybrid Federated Learning
AAAI 2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization
AAAI 2024
Revisiting Sampson Approximations for Geometric Estimation Problems
CVPR 2024
Component Fourier Neural Operator for Singularly Perturbed Differential Equations
AAAI 2024
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams
AAAI 2024
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs
NIPS 2024
Training-Free Quantum Architecture Search
AAAI 2024
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery
AAAI 2024
Random Smoothing Regularization in Kernel Gradient Descent Learning
JMLR 2024
A Provably Accurate Randomized Sampling Algorithm for Logistic Regression
AAAI 2024
Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors
AAAI 2024
Generalized Eigenvalue Problems with Generative Priors
NIPS 2024
skscope: Fast Sparsity-Constrained Optimization in Python
JMLR 2024
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
AAAI 2024
Optimal Transport with Tempered Exponential Measures
AAAI 2024
Sample-Constrained Black Box Optimization for Audio Personalization
AAAI 2024
Efficient Learning in Polyhedral Games via Best-Response Oracles
AAAI 2024
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
NIPS 2024
Symbolic Regression with a Learned Concept Library
NIPS 2024
High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method
JMLR 2024
A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation
AAAI 2024
Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems
AAAI 2024
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities
AISTATS 2024
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