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← Optimization
Mathematics & Optimization
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Optimization
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Convex Optimization
589 directly classified papers
Papers per year
2004: 1
2005: 1
2006: 8
2007: 14
2008: 7
2009: 12
2010: 14
2011: 16
2012: 27
2013: 49
2014: 45
2015: 23
2016: 30
2017: 27
2018: 32
2019: 39
2020: 48
2021: 43
2022: 61
2023: 37
2024: 40
2025: 15
Papers
Alternating Mirror Descent for Constrained Min-Max Games
NIPS 2022
Beyond L1: Faster and Better Sparse Models with skglm
NIPS 2022
Optimization for Classical Machine Learning Problems on the GPU
AAAI 2022
First-Order Convex Fitting and Its Application to Economics and Optimization
AAAI 2022
Optimal Anonymous Independent Reward Scheme Design
IJCAI 2022
The power of first-order smooth optimization for black-box non-smooth problems
ICML 2022
Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling
NIPS 2022
Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox
NIPS 2022
Safe Online Convex Optimization with Unknown Linear Safety Constraints
AAAI 2022
The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization
NIPS 2022
Fast Algorithms for Packing Proportional Fairness and its Dual
NIPS 2022
Support Recovery in Sparse PCA with Incomplete Data
NIPS 2022
Convexity Certificates from Hessians
NIPS 2022
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction
ICML 2022
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback
NIPS 2022
Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses
ICML 2022
Data-driven Control of Unknown Linear Systems via Quantized Feedback
L4DC 2022
A consistently adaptive trust-region method
NIPS 2022
Zonotope Domains for Lagrangian Neural Network Verification
NIPS 2022
Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent
NIPS 2022
p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets
AISTATS 2022
CoNSoLe: Convex Neural Symbolic Learning
NIPS 2022
Optimal and Adaptive Monteiro-Svaiter Acceleration
NIPS 2022
Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization
AISTATS 2022
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data
NIPS 2022
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