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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

1
52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

Multiple-policy High-confidence Policy Evaluation AISTATS 2023 Multiple Robust Learning for Recommendation AAAI 2023 Multiplier Bootstrap-based Exploration ICML 2023 Multiply Robust Off-policy Evaluation and Learning under Truncation by Death ICML 2023 Multi-Realism Image Compression With a Conditional Generator CVPR 2023 Multisample Flow Matching: Straightening Flows with Minibatch Couplings ICML 2023 Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices JMLR 2023 Multi-Swap k-Means++ NeurIPS 2023 Multitask Learning via Shared Features: Algorithms and Hardness COLT 2023 Multi-Task Learning via Time-Aware Neural ODE IJCAI 2023 Multi-task learning with summary statistics NeurIPS 2023 Multi-Task Off-Policy Learning from Bandit Feedback ICML 2023 Multi-task Representation Learning for Pure Exploration in Bilinear Bandits NeurIPS 2023 Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling JMLR 2023 Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023 Multi-view graph contrastive learning for solving vehicle routing problems UAI 2023 Multi-word Tokenization for Sequence Compression EMNLP 2023 MUter: Machine Unlearning on Adversarially Trained Models ICCV 2023 Mutual Information Regularized Offline Reinforcement Learning NeurIPS 2023 Naive imputation implicitly regularizes high-dimensional linear models ICML 2023 Nash Regret Guarantees for Linear Bandits NeurIPS 2023 NAS-X: Neural Adaptive Smoothing via Twisting NeurIPS 2023 NCC: Natural Concurrency Control for Strictly Serializable Datastores by Avoiding the Timestamp-Inversion Pitfall OSDI 2023 NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration AAAI 2023 Nearest Neighbor Dirichlet Mixtures JMLR 2023