conftrace_
← Mathematics & Optimization
Mathematics & Optimization ›

Optimization

12,959 papers (55 classified directly here)

Subtopics

Continuous Optimization (3,907) Stochastic Methods (2,788) Combinatorial Optimization (2,409) Online Algorithms (2,192) Optimization (1,207) Game Theory (944) Discrete Optimization (705) Convex Optimization (591) Optimal Transport (369) Sparse Optimization (347) Optimal Control (225) Global Optimization (190) Distributed Learning (157) Multi-Objective Optimization (125) Approximation Algorithms (110) Bayesian Optimization (100) Distributed Optimization (99) Theory (98) Non-Convex Optimization (76) Kernel Methods (73) Compressed Sensing (72) Robust Optimization (70) Evolutionary Algorithm (58) Linear Programming (43) Algorithms (10) Algorithm (10) Integer Programming (9) Submodular Optimization (9) Matrix Completion (8) Bilevel Optimization (8) Tensor Decomposition (6) Regularization (5)

Papers per year

1
15
119
411
1322
644
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Sublinear Space Private Algorithms Under the Sliding Window Model ICML 2019
Large-Scale Sparse Kernel Canonical Correlation Analysis ICML 2019
Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD ICML 2019
Generalized Linear Rule Models ICML 2019
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling ICML 2019
Deep Compressed Sensing ICML 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport ICML 2019
Differentiable Linearized ADMM ICML 2019
Power k-Means Clustering ICML 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding ICML 2019
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence ICML 2019
Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations ICML 2019
Online Adaptive Principal Component Analysis and Its extensions ICML 2019
Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory ICML 2019
A Conditional-Gradient-Based Augmented Lagrangian Framework ICML 2019
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator ICML 2019
When Samples Are Strategically Selected ICML 2019
Adaptive Regret of Convex and Smooth Functions ICML 2019
A Composite Randomized Incremental Gradient Method ICML 2019
Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models ICML 2019
Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization ICML 2019
Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits ICML 2019
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization ICML 2019
Lower Bounds for Smooth Nonconvex Finite-Sum Optimization ICML 2019
Surrogate Losses for Online Learning of Stepsizes in Stochastic Non-Convex Optimization ICML 2019