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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
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2000
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Papers (including subtopics)

A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds ICML 2022 A Regret Minimization Approach to Multi-Agent Control ICML 2022 A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles IJCAI 2022 A Riemannian Framework for Analysis of Human Body Surface WACV 2022 ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD ICML 2022 A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching CVPR 2022 A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree NeurIPS 2022 A Scalable Parallel Algorithm for Balanced Sampling (Student Abstract) AAAI 2022 A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games ICML 2022 A Short-Term Tropical Cyclone Intensity Forecasting Method Based on High-Order Tensor (Student Abstract) AAAI 2022 A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk NeurIPS 2022 A Simple Decentralized Cross-Entropy Method NeurIPS 2022 A Simple Unified Framework for High Dimensional Bandit Problems ICML 2022 A Simple yet Universal Strategy for Online Convex Optimization ICML 2022 A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization ICML 2022 A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences NeurIPS 2022 A Single-Timescale Method for Stochastic Bilevel Optimization AISTATS 2022 A speech enhancement method for long-range speech acquisition task Interspeech 2022 A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization NeurIPS 2022 A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract) AAAI 2022 A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms ICML 2022 A Survey of Risk-Aware Multi-Armed Bandits IJCAI 2022 Asymptotically-Optimal Gaussian Bandits with Side Observations ICML 2022 Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches AISTATS 2022 Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms JMLR 2022