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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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Papers (including subtopics)

Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection ICCV 2023 HiFi: High-Information Attention Heads Hold for Parameter-Efficient Model Adaptation ACL 2023 High-dimensional Asymptotics of Denoising Autoencoders NeurIPS 2023 High-dimensional Contextual Bandit Problem without Sparsity NeurIPS 2023 High-Dimensional Dueling Optimization with Preference Embedding AAAI 2023 High-Dimensional Inference for Generalized Linear Models with Hidden Confounding JMLR 2023 High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors ICML 2023 High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent AISTATS 2023 High-Fidelity 3D Human Digitization From Single 2K Resolution Images CVPR 2023 High Probability Bounds for Stochastic Continuous Submodular Maximization AISTATS 2023 High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance ICML 2023 High Probability Convergence of Stochastic Gradient Methods ICML 2023 HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation JMLR 2023 Hindsight Learning for MDPs with Exogenous Inputs ICML 2023 Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning RSS 2023 Hi-ToM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models EMNLP 2023 H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features ICML 2023 Holistic Inter-Annotator Agreement and Corpus Coherence Estimation in a Large-scale Multilingual Annotation Campaign EMNLP 2023 HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation ICCV 2023 Homophone Disambiguation Reveals Patterns of Context Mixing in Speech Transformers EMNLP 2023 Homotopy-based training of NeuralODEs for accurate dynamics discovery NeurIPS 2023 Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale. ACL 2023 Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes ICML 2023 Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds ICML 2023 HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search CVPR 2023