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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)

ContactOpt: Optimizing Contact To Improve Grasps CVPR 2021 Context-Aware Online Collective Inference for Templated Graphical Models ICML 2021 Context-Specific Likelihood Weighting AISTATS 2021 Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract) AAAI 2021 Contextual Blocking Bandits AISTATS 2021 Contingency-aware influence maximization: A reinforcement learning approach UAI 2021 Continual learning in recurrent neural networks ICLR 2021 Continual Learning in the Teacher-Student Setup: Impact of Task Similarity ICML 2021 Continual Learning via Bit-Level Information Preserving CVPR 2021 Continual Quality Estimation with Online Bayesian Meta-Learning ACL 2021 Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms NeurIPS 2021 Continuous Doubly Constrained Batch Reinforcement Learning NeurIPS 2021 Continuous Integration over SO(3) for IMU Preintegration RSS 2021 Continuous Mean-Covariance Bandits NeurIPS 2021 Continuous Time Analysis of Momentum Methods JMLR 2021 Continuous vs. Discrete Optimization of Deep Neural Networks NeurIPS 2021 Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization ICLR 2021 Continuum-Armed Bandits: A Function Space Perspective AISTATS 2021 CONTRA: Contrarian statistics for controlled variable selection AISTATS 2021 Contraction L1-Adaptive Control using Gaussian Processes L4DC 2021 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NeurIPS 2021 Contrastive Learning Inverts the Data Generating Process ICML 2021 Contrastive learning of strong-mixing continuous-time stochastic processes AISTATS 2021 Contrastive Losses and Solution Caching for Predict-and-Optimize IJCAI 2021 Contrastive Neural Architecture Search With Neural Architecture Comparators CVPR 2021