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Methodology
← Optimization
Mathematics & Optimization
›
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
Alternating Mirror Descent for Constrained Min-Max Games
NIPS 2022
Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games
NIPS 2022
A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem
NIPS 2022
The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound
NIPS 2022
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity
NIPS 2022
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications
NIPS 2022
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
NIPS 2022
Enhanced Bilevel Optimization via Bregman Distance
NIPS 2022
Subquadratic Kronecker Regression with Applications to Tensor Decomposition
NIPS 2022
Support Recovery in Sparse PCA with Incomplete Data
NIPS 2022
Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems
NIPS 2022
Automatic differentiation of nonsmooth iterative algorithms
NIPS 2022
Coresets for Wasserstein Distributionally Robust Optimization Problems
NIPS 2022
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization
NIPS 2022
Fast Algorithms for Packing Proportional Fairness and its Dual
NIPS 2022
Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound
NIPS 2022
Shape And Structure Preserving Differential Privacy
NIPS 2022
Optimal Comparator Adaptive Online Learning with Switching Cost
NIPS 2022
Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization
NIPS 2022
Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation
NIPS 2022
Signal Recovery with Non-Expansive Generative Network Priors
NIPS 2022
Optimal and Adaptive Monteiro-Svaiter Acceleration
NIPS 2022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
NIPS 2022
Truncated Matrix Power Iteration for Differentiable DAG Learning
NIPS 2022
The Curse of Unrolling: Rate of Differentiating Through Optimization
NIPS 2022
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