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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

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

Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring CVPR 2019 Phase Transition Behavior of Cardinality and XOR Constraints IJCAI 2019 Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints NeurIPS 2019 Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python JMLR 2019 Pivotal Relationship Identification: The K-Truss Minimization Problem IJCAI 2019 Plan-Length Bounds: Beyond 1-Way Dependency AAAI 2019 Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games NeurIPS 2019 Poll-Confident Voters in Iterative Voting AAAI 2019 Polynomial Cost of Adaptation for X-Armed Bandits NeurIPS 2019 Portioning Using Ordinal Preferences: Fairness and Efficiency IJCAI 2019 Possibilistic Games with Incomplete Information IJCAI 2019 Power k-Means Clustering ICML 2019 Practical Coding Function Design for Time-Of-Flight Imaging CVPR 2019 Practical Differentially Private Top-k Selection with Pay-what-you-get Composition NeurIPS 2019 Practical Two-Step Lookahead Bayesian Optimization NeurIPS 2019 Precision Matrix Estimation with Noisy and Missing Data AISTATS 2019 Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions IJCAI 2019 Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach AAAI 2019 Preferred Deals in General Environments IJCAI 2019 Primal-Dual Block Generalized Frank-Wolfe NeurIPS 2019 Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG NeurIPS 2019 Prior-Free Dynamic Auctions with Low Regret Buyers NeurIPS 2019 Privacy Amplification by Mixing and Diffusion Mechanisms NeurIPS 2019 Private Learning Implies Online Learning: An Efficient Reduction NeurIPS 2019 Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope CVPR 2019