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Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

Papers per year

1
16
133
440
1,353
1,441
2000
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Papers (including subtopics)

A Bandit Approach to Maximum Inner Product Search AAAI 2019 ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery AISTATS 2019 A Better Algorithm for Societal Tradeoffs AAAI 2019 A Better k-means++ Algorithm via Local Search ICML 2019 A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation ICML 2019 A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication JMLR 2019 A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders AAAI 2019 Accelerated Alternating Projections for Robust Principal Component Analysis JMLR 2019 Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches AISTATS 2019 Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives AISTATS 2019 Accelerated Flow for Probability Distributions ICML 2019 Accelerated Gravitational Point Set Alignment With Altered Physical Laws ICCV 2019 Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor IJCAI 2019 Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances ICML 2019 ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION ICLR 2019 Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions NeurIPS 2019 Acceleration via Symplectic Discretization of High-Resolution Differential Equations NeurIPS 2019 Achieving a Fairer Future by Changing the Past IJCAI 2019 Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information COLT 2019 Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly COLT 2019 A Closed-Form Solution to Universal Style Transfer ICCV 2019 A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers NeurIPS 2019 A Composite Randomized Incremental Gradient Method ICML 2019 A Conditional-Gradient-Based Augmented Lagrangian Framework ICML 2019 A Convex Relaxation for Multi-Graph Matching CVPR 2019