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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
A linear time approximation of Wasserstein distance with word embedding selection
EMNLP 2023
Operator learning with PCA-Net: upper and lower complexity bounds
JMLR 2023
Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time
NIPS 2023
Revisiting Area Convexity: Faster Box-Simplex Games and Spectrahedral Generalizations
NIPS 2023
Validation of composite systems by discrepancy propagation
UAI 2023
KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization
UAI 2023
Low-rank matrix recovery with unknown correspondence
UAI 2023
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited
UAI 2023
Maximizing submodular functions under submodular constraints
UAI 2023
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness
NIPS 2023
Riemannian Accelerated Gradient Methods via Extrapolation
AISTATS 2023
Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels
NIPS 2023
High Probability Bounds for Stochastic Continuous Submodular Maximization
AISTATS 2023
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization
NIPS 2023
Reducing Discretization Error in the Frank-Wolfe Method
AISTATS 2023
Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent
NIPS 2023
Zeroth-Order Alternating Gradient Descent Ascent Algorithms for A Class of Nonconvex-Nonconcave Minimax Problems
JMLR 2023
Beyond the Golden Ratio for Variational Inequality Algorithms
JMLR 2023
Bi-level Finetuning with Task-dependent Similarity Structure for Low-resource Training
ACL 2023
Efficient Semiring-Weighted Earley Parsing
ACL 2023
Unbalanced Optimal Transport for Unbalanced Word Alignment
ACL 2023
InfoOT: Information Maximizing Optimal Transport
ICML 2023
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing
AAAI 2023
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization
NIPS 2023
Linearization Algorithms for Fully Composite Optimization
COLT 2023
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