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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Multi-agent Approach to Resource Allocation in Autonomous Vehicle Fleets IJCAI 2021 Multi-Agent Belief Base Revision IJCAI 2021 Multi-Agent Reinforcement Learning in Stochastic Networked Systems NeurIPS 2021 Multi-armed Bandit Requiring Monotone Arm Sequences NeurIPS 2021 Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization NeurIPS 2021 Multi-Armed Bandits with Cost Subsidy AISTATS 2021 Multiclass Boosting and the Cost of Weak Learning NeurIPS 2021 Multi-class Gaussian Process Classification with Noisy Inputs JMLR 2021 Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning ICLR 2021 Multiclass versus Binary Differentially Private PAC Learning NeurIPS 2021 Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems AAAI 2021 Multi-Fidelity High-Order Gaussian Processes for Physical Simulation AISTATS 2021 Multi-Grained Knowledge Distillation for Named Entity Recognition NAACL 2021 Multi-group Agnostic PAC Learnability ICML 2021 Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation ACL 2021 Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning CVPR 2021 Multi-level Distance Regularization for Deep Metric Learning AAAI 2021 Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks ICLR 2021 Multilevel Monte Carlo Variational Inference JMLR 2021 MultiLexNorm: A Shared Task on Multilingual Lexical Normalization EMNLP 2021 MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection CVPR 2021 Multi-Loss Weighting With Coefficient of Variations WACV 2021 Multinomial Logit Contextual Bandits: Provable Optimality and Practicality AAAI 2021 Multi-Objective Meta Learning NeurIPS 2021 Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs NeurIPS 2021