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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
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2000
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Papers (including subtopics)

Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees ICML 2018 Markov Random Field MAP as Set Partitioning PGM 2018 Matrix completability analysis via graph k-connectivity AISTATS 2018 Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order ICML 2018 Maximin Share Allocations on Cycles IJCAI 2018 Maximum Selection and Sorting with Adversarial Comparators JMLR 2018 Medoids in Almost-Linear Time via Multi-Armed Bandits AISTATS 2018 Mental Sampling in Multimodal Representations NeurIPS 2018 Meta-Level Control of Anytime Algorithms with Online Performance Prediction IJCAI 2018 Methods for off-line/on-line optimization under uncertainty IJCAI 2018 Metron: NFV Service Chains at the True Speed of the Underlying Hardware NSDI 2018 Minibatch Gibbs Sampling on Large Graphical Models ICML 2018 Minimax Bounds on Stochastic Batched Convex Optimization COLT 2018 Minimax Rates and Efficient Algorithms for Noisy Sorting ALT 2018 Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes IJCAI 2018 Minimax Statistical Learning with Wasserstein distances NeurIPS 2018 Minimizing Adaptive Regret with One Gradient per Iteration IJCAI 2018 Mirrored Langevin Dynamics NeurIPS 2018 MISSION: Ultra Large-Scale Feature Selection using Count-Sketches ICML 2018 Mixed Causal Structure Discovery with Application to Prescriptive Pricing IJCAI 2018 MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization NeurIPS 2018 Mixture Matrix Completion NeurIPS 2018 MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval NeurIPS 2018 Multi-Agent Election-Based Hyper-Heuristics IJCAI 2018 Multi-Agent Path Finding with Deadlines IJCAI 2018