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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)

Bayesian Optimization of Function Networks with Partial Evaluations ICML 2024 Bayesian Optimization of Functions over Node Subsets in Graphs NeurIPS 2024 Bayesian Program Learning by Decompiling Amortized Knowledge ICML 2024 Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models ACL 2024 Bayesian Regression Markets JMLR 2024 Bayesian Regret Minimization in Offline Bandits ICML 2024 Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning ICML 2024 Bayes-optimal learning of an extensive-width neural network from quadratically many samples NeurIPS 2024 Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields CVPR 2024 BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition ICML 2024 BEACON: Benchmark for Comprehensive RNA Tasks and Language Models NeurIPS 2024 Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design ICLR 2024 Beam-search SIEVE for low-memory speech recognition Interspeech 2024 Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback NeurIPS 2024 Beating Price of Anarchy and Gradient Descent without Regret in Potential Games ICLR 2024 Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks ICLR 2024 Benchmark Generation Framework With Customizable Distortions for Image Classifier Robustness WACV 2024 Benchmarking Counterfactual Image Generation NeurIPS 2024 Benchmarking Data Science Agents ACL 2024 Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm NeurIPS 2024 Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem COLING 2024 Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation ACL 2024 Benchmarking LLMs via Uncertainty Quantification NeurIPS 2024 Benchmarking Observational Studies with Experimental Data under Right-Censoring AISTATS 2024 Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime NeurIPS 2024