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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
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization
JMLR 2022
Nonconvex Matrix Completion with Linearly Parameterized Factors
JMLR 2022
Projected Robust PCA with Application to Smooth Image Recovery
JMLR 2022
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems
JMLR 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
ICML 2022
On Last-Iterate Convergence Beyond Zero-Sum Games
ICML 2022
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
ICML 2022
Gradient Based Clustering
ICML 2022
Fast Composite Optimization and Statistical Recovery in Federated Learning
ICML 2022
Measuring dissimilarity with diffeomorphism invariance
ICML 2022
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
ICML 2022
Only tails matter: Average-Case Universality and Robustness in the Convex Regime
ICML 2022
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems
ICML 2022
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
ICML 2022
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
ICML 2022
A Unifying Framework for Variance-Reduced Algorithms for Findings Zeroes of Monotone operators
JMLR 2022
Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization
JMLR 2022
Collision Detection Accelerated: An Optimization Perspective
RSS 2022
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
ICML 2022
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
ICML 2022
VectorAdam for Rotation Equivariant Geometry Optimization
NIPS 2022
Misspecified Phase Retrieval with Generative Priors
NIPS 2022
Single Loop Gaussian Homotopy Method for Non-convex Optimization
NIPS 2022
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders
NIPS 2022
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions
NIPS 2022
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