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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)

Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently ICLR 2022 Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning ICML 2022 Perceptual Characteristics Based Multi-objective Model for Speech Enhancement Interspeech 2022 Perceptual Consistency in Video Segmentation WACV 2022 Perceptual Evaluation of Penetrating Voices through a Semantic Differential Method Interspeech 2022 PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method ICLR 2022 Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search CVPR 2022 Performance Interfaces for Network Functions NSDI 2022 Performative Prediction in a Stateful World AISTATS 2022 Permutation-Based SGD: Is Random Optimal? ICLR 2022 Permutation Compressors for Provably Faster Distributed Nonconvex Optimization ICLR 2022 Permutation Search of Tensor Network Structures via Local Sampling ICML 2022 Personalized Federated Learning with Contextualized Generalization IJCAI 2022 Personalized Online Federated Learning with Multiple Kernels NeurIPS 2022 Pessimism for Offline Linear Contextual Bandits using ℓ_p Confidence Sets NeurIPS 2022 Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage ICLR 2022 Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity ICML 2022 p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets AISTATS 2022 Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks NeurIPS 2022 Phase Transition from Clean Training to Adversarial Training NeurIPS 2022 Phase transitions in when feedback is useful NeurIPS 2022 Phase Vocoder For Time Stretch Based On Center Frequency Estimation Interspeech 2022 Phenomenology of Double Descent in Finite-Width Neural Networks ICLR 2022 Phragmén Rules for Degressive and Regressive Proportionality IJCAI 2022 Physical Simulation Layer for Accurate 3D Modeling CVPR 2022