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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)

The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks ICML 2022 The Complexity of k-Means Clustering when Little is Known ICML 2022 The Complexity of Learning Approval-Based Multiwinner Voting Rules AAAI 2022 The Complexity of Proportionality Degree in Committee Elections AAAI 2022 The computational and learning benefits of Daleian neural networks NeurIPS 2022 The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program ICLR 2022 The Correlation-assisted Missing Data Estimator JMLR 2022 The Curse of Passive Data Collection in Batch Reinforcement Learning AISTATS 2022 The Curse of Unrolling: Rate of Differentiating Through Optimization NeurIPS 2022 The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? AISTATS 2022 The Devil in Linear Transformer EMNLP 2022 The DEVIL Is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting CVPR 2022 The Devil Is in the Margin: Margin-Based Label Smoothing for Network Calibration CVPR 2022 The Document Vectors Using Cosine Similarity Revisited ACL 2022 The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention ICML 2022 The Dual PC Algorithm for Structure Learning PGM 2022 The Dynamics of Riemannian Robbins-Monro Algorithms COLT 2022 The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning AAAI 2022 The Effects of Corpus Choice and Morphosyntax on Multilingual Space Induction EMNLP 2022 The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models ICLR 2022 The Egocentric Logic of Preferences IJCAI 2022 The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures JMLR 2022 The Evolution of Uncertainty of Learning in Games ICLR 2022 The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting EMNLP 2022 The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization NeurIPS 2022