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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
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2000
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Papers (including subtopics)

Local Differential Privacy Meets Computational Social Choice - Resilience under Voter Deletion IJCAI 2022 Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis ICML 2022 Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity NeurIPS 2022 Log-Linear-Time Gaussian Processes Using Binary Tree Kernels NeurIPS 2022 Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression NeurIPS 2022 Lower Bounds on Intermediate Results in Bottom-Up Knowledge Compilation AAAI 2022 Low-rank Optimal Transport: Approximation, Statistics and Debiasing NeurIPS 2022 Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization JMLR 2022 LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data JMLR 2022 LSB: Local Self-Balancing MCMC in Discrete Spaces ICML 2022 LTL on Weighted Finite Traces: Formal Foundations and Algorithms IJCAI 2022 Luckiness in Multiscale Online Learning NeurIPS 2022 Ludus: An Optimization Framework to Balance Auto Battler Cards AAAI 2022 LyaNet: A Lyapunov Framework for Training Neural ODEs ICML 2022 Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control ICML 2022 Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment AAAI 2022 Machine Learning for Online Algorithm Selection under Censored Feedback AAAI 2022 Manifold Interpolating Optimal-Transport Flows for Trajectory Inference NeurIPS 2022 Many processors, little time: MCMC for partitions via optimal transport couplings AISTATS 2022 MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search AAAI 2022 Mappings for Marginal Probabilities with Applications to Models in Statistical Physics JMLR 2022 Massively Parallel k-Means Clustering for Perturbation Resilient Instances ICML 2022 Matching in Multi-arm Bandit with Collision NeurIPS 2022 Matching Market Design with Constraints AAAI 2022 Matrix Completion with Covariate Information and Informative Missingness JMLR 2022