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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
Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion
AAAI 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition
NIPS 2024
Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates
AISTATS 2024
Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions
NIPS 2024
Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence
NIPS 2024
Randomized Primal-Dual Methods with Adaptive Step Sizes
AISTATS 2023
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle
AISTATS 2023
Linearization Algorithms for Fully Composite Optimization
COLT 2023
Mean Parity Fair Regression in RKHS
AISTATS 2023
Algorithm for Constrained Markov Decision Process with Linear Convergence
AISTATS 2023
Online Linearized LASSO
AISTATS 2023
An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary
AISTATS 2023
Improved Rate of First Order Algorithms for Entropic Optimal Transport
AISTATS 2023
Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates
AAAI 2023
Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes
AISTATS 2023
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing
AAAI 2023
Essential Matrix Estimation using Convex Relaxations in Orthogonal Space
ICCV 2023
Global optimality for Euclidean CCCP under Riemannian convexity
ICML 2023
Lower Bounds and Accelerated Algorithms for Bilevel Optimization
JMLR 2023
Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.
ICML 2023
The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models
AAAI 2023
Federated Online and Bandit Convex Optimization
ICML 2023
Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization
ICML 2023
Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions
ICML 2023
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization
ICML 2023
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