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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)

BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning ACML 2022 Bayes at FigLang 2022 Euphemism Detection shared task: Cost-Sensitive Bayesian Fine-tuning and Venn-Abers Predictors for Robust Training under Class Skewed Distributions EMNLP 2022 Bayesian Active Learning with Fully Bayesian Gaussian Processes NeurIPS 2022 Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments ACML 2022 Bayesian Classifier Fusion with an Explicit Model of Correlation AISTATS 2022 Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers NeurIPS 2022 Bayesian Continuous-Time Tucker Decomposition ICML 2022 Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure JMLR 2022 Bayesian Generational Population-Based Training AutoML 2022 Bayesian Imitation Learning for End-to-End Mobile Manipulation ICML 2022 Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding AISTATS 2022 Bayesian inference via sparse Hamiltonian flows NeurIPS 2022 Bayesian Invariant Risk Minimization CVPR 2022 Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense ICML 2022 Bayesian Model-Based Offline Reinforcement Learning for Product Allocation AAAI 2022 Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How ICLR 2022 Bayesian Model Selection, the Marginal Likelihood, and Generalization ICML 2022 Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022 Bayesian Neural Network Priors Revisited ICLR 2022 Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations ICML 2022 Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection CVPR 2022 Bayesian Optimisation for Active Monitoring of Air Pollution AAAI 2022 Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning NeurIPS 2022 Bayesian Optimization for Distributionally Robust Chance-constrained Problem ICML 2022 Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization NeurIPS 2022