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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)

Bayesian Optimization over Permutation Spaces AAAI 2022 Bayesian Optimization under Stochastic Delayed Feedback ICML 2022 Bayesian Persuasion for Algorithmic Recourse NeurIPS 2022 Bayesian Phylogenetic Cognate Prediction NAACL 2022 Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy JMLR 2022 Bayesian quantile and expectile optimisation UAI 2022 Bayesian Recurrent Units and the Forward-Backward Algorithm Interspeech 2022 Bayesian Reinforcement Learning for Single-Episode Missions in Partially Unknown Environments CoRL 2022 Bayesian Risk Markov Decision Processes NeurIPS 2022 Bayesian spillover graphs for dynamic networks UAI 2022 Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty NeurIPS 2022 Bayesian subset selection and variable importance for interpretable prediction and classification JMLR 2022 Bayesian Transformer Using Disentangled Mask Attention Interspeech 2022 Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides of the Same Coin? WACV 2022 b-DARTS: Beta-Decay Regularization for Differentiable Architecture Search CVPR 2022 BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis ICLR 2022 BECEL: Benchmark for Consistency Evaluation of Language Models COLING 2022 BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression NeurIPS 2022 BEHAVIOR-1K: A Benchmark for Embodied AI with 1,000 Everyday Activities and Realistic Simulation CoRL 2022 Behind the Mask: Demographic bias in name detection for PII masking ACL 2022 Being a Bit Frequentist Improves Bayesian Neural Networks AISTATS 2022 Being Properly Improper ICML 2022 Be Like Water: Adaptive Floating Point for Machine Learning ICML 2022 Bellman Residual Orthogonalization for Offline Reinforcement Learning NeurIPS 2022 Benchmarking Compositionality with Formal Languages COLING 2022