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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)

Distributed Nyström Kernel Learning with Communications ICML 2021 Distributed Saddle-Point Problems Under Data Similarity NeurIPS 2021 Distributed Second Order Methods with Fast Rates and Compressed Communication ICML 2021 Distributed Zero-Order Optimization under Adversarial Noise NeurIPS 2021 Distributionally Robust Optimization with Markovian Data ICML 2021 Distributional Reinforcement Learning for Multi-Dimensional Reward Functions NeurIPS 2021 Dividing a Graphical Cake AAAI 2021 DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel NeurIPS 2021 Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship AISTATS 2021 Don’t Search for a Search Method — Simple Heuristics Suffice for Adversarial Text Attacks EMNLP 2021 DORO: Distributional and Outlier Robust Optimization ICML 2021 Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads OSDI 2021 Double Explore-then-Commit: Asymptotic Optimality and Beyond COLT 2021 Double Oracle Algorithm for Computing Equilibria in Continuous Games AAAI 2021 Doubly non-central beta matrix factorization for DNA methylation data UAI 2021 Doubly Robust Thompson Sampling with Linear Payoffs NeurIPS 2021 DRONE: Data-aware Low-rank Compression for Large NLP Models NeurIPS 2021 DTMNet: A Discrete Tchebichef Moments-Based Deep Neural Network for Multi-Focus Image Fusion ICCV 2021 Dual Active Learning for Both Model and Data Selection IJCAI 2021 Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions NeurIPS 2021 Dual-Mandate Patrols: Multi-Armed Bandits for Green Security AAAI 2021 Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms AISTATS 2021 Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021 Dueling Bandits with Adversarial Sleeping NeurIPS 2021 Dueling Bandits with Team Comparisons NeurIPS 2021