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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
Discrete Variational Calculus for Accelerated Optimization
JMLR 2023
Difference of submodular minimization via DC programming
ICML 2023
Second-Order Optimization with Lazy Hessians
ICML 2023
Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
ICML 2023
Convex Bounds on the Softmax Function with Applications to Robustness Verification
AISTATS 2023
Beyond the Golden Ratio for Variational Inequality Algorithms
JMLR 2023
Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces
JMLR 2023
Adaptive Estimation of Graphical Models under Total Positivity
ICML 2023
Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization
ICML 2023
Learning Fractals by Gradient Descent
AAAI 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
ICML 2023
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
ICML 2023
Zeroth-Order Alternating Gradient Descent Ascent Algorithms for A Class of Nonconvex-Nonconcave Minimax Problems
JMLR 2023
Coordinate Descent Methods for Fractional Minimization
ICML 2023
Resolving the Approximability of Offline and Online Non-monotone DR-Submodular Maximization over General Convex Sets
AISTATS 2023
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems
ICML 2023
Projected Tensor Power Method for Hypergraph Community Recovery
ICML 2023
Delay-agnostic Asynchronous Coordinate Update Algorithm
ICML 2023
Coupled Variational Autoencoder
ICML 2023
A Bregman Divergence View on the Difference-of-Convex Algorithm
AISTATS 2023
A Unified Approach to Controlling Implicit Regularization via Mirror Descent
JMLR 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization
ICML 2023
A Fast Optimistic Method for Monotone Variational Inequalities
ICML 2023
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
ICML 2023
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
ICML 2023
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