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

Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies ICCV 2023 Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares NeurIPS 2023 Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing ICML 2023 Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework ICML 2023 RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum Learning ICCV 2023 Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints L4DC 2023 Recurrence Without Recurrence: Stable Video Landmark Detection With Deep Equilibrium Models CVPR 2023 Recurrent Neural Language Models as Probabilistic Finite-state Automata EMNLP 2023 Recurrent Neural Networks and Universal Approximation of Bayesian Filters AISTATS 2023 RecursiveDet: End-to-End Region-Based Recursive Object Detection ICCV 2023 Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds JMLR 2023 RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging ICCV 2023 ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints NeurIPS 2023 Reduced Policy Optimization for Continuous Control with Hard Constraints NeurIPS 2023 Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor NeurIPS 2023 Reducing Communication for Split Learning by Randomized Top-k Sparsification IJCAI 2023 Reducing Discretization Error in the Frank-Wolfe Method AISTATS 2023 Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method NeurIPS 2023 Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs ICML 2023 Reducing the Label Bias for Timestamp Supervised Temporal Action Segmentation CVPR 2023 Re-Examining Summarization Evaluation across Multiple Quality Criteria EMNLP 2023 Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data AISTATS 2023 Refined Mechanism Design for Approximately Structured Priors via Active Regression NeurIPS 2023 Refined Regret for Adversarial MDPs with Linear Function Approximation ICML 2023 Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration CVPR 2023