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Methodology
← Optimization
Mathematics & Optimization
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Optimization
›
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
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator
ICML 2019
A Conditional-Gradient-Based Augmented Lagrangian Framework
ICML 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
ICML 2019
Alternating Minimizations Converge to Second-Order Optimal Solutions
ICML 2019
Almost surely constrained convex optimization
ICML 2019
Hierarchical Optimal Transport for Multimodal Distribution Alignment
NIPS 2019
Deep Bayesian Optimization on Attributed Graphs
AAAI 2019
Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets
AAAI 2019
Walrasian Dynamics in Multi-Unit Markets
AAAI 2019
Fuzzy-Classification Assisted Solution Preselection in Evolutionary Optimization
AAAI 2019
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport
AAAI 2019
Sparse Reject Option Classifier Using Successive Linear Programming
AAAI 2019
Sublinear Time Numerical Linear Algebra for Structured Matrices
AAAI 2019
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization
ICML 2019
Nonconvex Variance Reduced Optimization with Arbitrary Sampling
ICML 2019
Obtaining Fairness using Optimal Transport Theory
ICML 2019
Multi-Frequency Phase Synchronization
ICML 2019
Fast and Flexible Inference of Joint Distributions from their Marginals
ICML 2019
Improved Convergence for $\ell_1$ and $\ell_∞$ Regression via Iteratively Reweighted Least Squares
ICML 2019
Lower Bounds for Smooth Nonconvex Finite-Sum Optimization
ICML 2019
Iterative Linearized Control: Stable Algorithms and Complexity Guarantees
ICML 2019
Curvature-Exploiting Acceleration of Elastic Net Computations
ICML 2019
A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization
ICML 2019
Categorical Feature Compression via Submodular Optimization
ICML 2019
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems
AISTATS 2019
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