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Methodology
← Optimization
Mathematics & Optimization
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Optimization
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Continuous Optimization
3907 directly classified papers
Papers per year
2001: 1
2002: 2
2004: 2
2005: 6
2006: 16
2007: 22
2008: 29
2009: 27
2010: 38
2011: 44
2012: 78
2013: 146
2014: 172
2015: 155
2016: 188
2017: 223
2018: 260
2019: 393
2020: 367
2021: 395
2022: 418
2023: 423
2024: 320
2025: 154
2026: 28
Papers
Efficient Sketches for Training Data Attribution and Studying the Loss Landscape
NIPS 2024
Convex approximations for a bi-level formulation of data-enabled predictive control
L4DC 2024
The Price of Adaptivity in Stochastic Convex Optimization
COLT 2024
Sparse NMF with Archetypal Regularization: Computational and Robustness Properties
JMLR 2024
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates
JMLR 2024
Faster Rates of Differentially Private Stochastic Convex Optimization
JMLR 2024
Pursuit of the Cluster Structure of Network Lasso: Recovery Condition and Non-convex Extension
JMLR 2024
Accelerating ERM for data-driven algorithm design using output-sensitive techniques
NIPS 2024
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems
AAAI 2024
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees
JMLR 2024
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization
JMLR 2024
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models
JMLR 2024
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning
JMLR 2024
Data-driven robust covariance control for uncertain linear systems
L4DC 2024
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints
JMLR 2024
A De-singularity Subgradient Approach for the Extended Weber Location Problem
IJCAI 2024
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives
IJCAI 2024
Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning
IJCAI 2024
Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis
IJCAI 2024
PDENNEval: A Comprehensive Evaluation of Neural Network Methods for Solving PDEs
IJCAI 2024
Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers
IJCAI 2024
Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs
AAAI 2024
A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem
AAAI 2024
Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment
AAAI 2024
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
NIPS 2024
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