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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
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
NIPS 2023
Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization
ICML 2023
ReSync: Riemannian Subgradient-based Robust Rotation Synchronization
NIPS 2023
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem
NIPS 2023
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
NIPS 2023
Difference of submodular minimization via DC programming
ICML 2023
Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
ICML 2023
Variational Weighting for Kernel Density Ratios
NIPS 2023
Memory-Constrained Algorithms for Convex Optimization
NIPS 2023
Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods
ICML 2023
Plateau-Reduced Differentiable Path Tracing
CVPR 2023
Saddle-to-Saddle Dynamics in Diagonal Linear Networks
NIPS 2023
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization
NIPS 2023
Convergence of Alternating Gradient Descent for Matrix Factorization
NIPS 2023
Generalized Belief Transport
NIPS 2023
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization
ICML 2023
Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set
ICML 2023
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization
ICML 2023
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration
NIPS 2023
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics
ICML 2023
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points
ICML 2023
Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations
ICML 2023
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees
NIPS 2023
DRCFS: Doubly Robust Causal Feature Selection
ICML 2023
Structured Semidefinite Programming for Recovering Structured Preconditioners
NIPS 2023
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