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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)

Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL ICML 2022 Policy Learning and Evaluation with Randomized Quasi-Monte Carlo AISTATS 2022 Policy Optimization for Stochastic Shortest Path COLT 2022 Policy Optimization with Stochastic Mirror Descent AAAI 2022 Policy Smoothing for Provably Robust Reinforcement Learning ICLR 2022 Polygon-to-Polygon Distance Loss for Rotated Object Detection AAAI 2022 PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions ICLR 2022 Polynomial time guarantees for the Burer-Monteiro method NeurIPS 2022 Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally ALT 2022 Pooling Revisited: Your Receptive Field Is Suboptimal CVPR 2022 Popular decision tree algorithms are provably noise tolerant ICML 2022 Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer NAACL 2022 Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization NeurIPS 2022 Possibilistic Logic Underlies Abstract Dialectical Frameworks IJCAI 2022 Posterior and Computational Uncertainty in Gaussian Processes NeurIPS 2022 Posterior Asymptotics for Boosted Hierarchical Dirichlet Process Mixtures JMLR 2022 Posterior Collapse of a Linear Latent Variable Model NeurIPS 2022 Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks NeurIPS 2022 Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines EMNLP 2022 Posthoc Verification and the Fallibility of the Ground Truth NAACL 2022 Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models AAAI 2022 Power and limitations of single-qubit native quantum neural networks NeurIPS 2022 Power Iteration for Tensor PCA JMLR 2022 Power-Law Escape Rate of SGD ICML 2022 PPT: Pre-trained Prompt Tuning for Few-shot Learning ACL 2022