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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)

Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples AAAI 2024 Fair Online Bilateral Trade NeurIPS 2024 Fair Participation via Sequential Policies AAAI 2024 Fair Resource Allocation in Multi-Task Learning ICML 2024 fairret: a Framework for Differentiable Fairness Regularization Terms ICLR 2024 Fair Secretaries with Unfair Predictions NeurIPS 2024 FairWASP: Fast and Optimal Fair Wasserstein Pre-processing AAAI 2024 Fair Wasserstein Coresets NeurIPS 2024 FairWire: Fair Graph Generation NeurIPS 2024 FairyWREN: A Sustainable Cache for Emerging Write-Read-Erase Flash Interfaces OSDI 2024 Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals AAAI 2024 Faithful Rule Extraction for Differentiable Rule Learning Models ICLR 2024 Fake It Till Make It: Federated Learning with Consensus-Oriented Generation ICLR 2024 False discovery proportion envelopes with m-consistency JMLR 2024 Fantastic Generalization Measures are Nowhere to be Found ICLR 2024 Fast 1-Wasserstein distance approximations using greedy strategies AISTATS 2024 Fast Algorithms for Hypergraph PageRank with Applications to Semi-Supervised Learning ICML 2024 Fast and Adversarial Robust Kernelized SDU Learning AISTATS 2024 Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes AAAI 2024 Fast and unified path gradient estimators for normalizing flows ICLR 2024 Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks AutoML 2024 Fast Best-of-N Decoding via Speculative Rejection NeurIPS 2024 Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence COLT 2024 Fast Co-Training under Weak Dependence via Stream-Based Active Learning ICML 2024 Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature ICLR 2024