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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

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Papers (including subtopics)

Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization ICML 2013
Multiple Identifications in Multi-Armed Bandits ICML 2013
Learning Optimally Sparse Support Vector Machines ICML 2013
Efficient Sparse Group Feature Selection via Nonconvex Optimization ICML 2013
Optimal rates for stochastic convex optimization under Tsybakov noise condition ICML 2013
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning ICML 2013
Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method ICML 2013
Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization ICML 2013
Active Learning for Multi-Objective Optimization ICML 2013
Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs ICML 2013
Dynamical Models and tracking regret in online convex programming ICML 2013
Rounding Methods for Discrete Linear Classification ICML 2013
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems ICML 2013
Local Low-Rank Matrix Approximation ICML 2013
Generic Exploration and K-armed Voting Bandits ICML 2013
Monochromatic Bi-Clustering ICML 2013
Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing ICML 2013
Sparse projections onto the simplex ICML 2013
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions ICML 2013
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ICML 2013
Bayesian Games for Adversarial Regression Problems ICML 2013
Guaranteed Sparse Recovery under Linear Transformation ICML 2013
Estimating Unknown Sparsity in Compressed Sensing ICML 2013
Fastfood - Computing Hilbert Space Expansions in loglinear time ICML 2013
Mean Reversion with a Variance Threshold ICML 2013