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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)

OTF: Optimal Transport based Fusion of Supervised and Self-Supervised Learning Models for Automatic Speech Recognition Interspeech 2023 OTOv2: Automatic, Generic, User-Friendly ICLR 2023 Outlier Robust Adversarial Training ACML 2023 Outlier-Robust Gromov-Wasserstein for Graph Data NeurIPS 2023 Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling EMNLP 2023 Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning ACL 2023 Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation NeurIPS 2023 Overlap-Guided Gaussian Mixture Models for Point Cloud Registration WACV 2023 Over-Parameterization Exponentially Slows Down Gradient Descent for Learning a Single Neuron COLT 2023 Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning JMLR 2023 Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition ICLR 2023 Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points ICML 2023 Over-Training with Mixup May Hurt Generalization ICLR 2023 P1AC: Revisiting Absolute Pose From a Single Affine Correspondence ICCV 2023 PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction NeurIPS 2023 PAC-Bayesian Generalization Bounds for Adversarial Generative Models ICML 2023 PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023 PAC-Bayesian Offline Contextual Bandits With Guarantees ICML 2023 PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization NeurIPS 2023 PAC Generalization via Invariant Representations ICML 2023 Packed Ensembles for efficient uncertainty estimation ICLR 2023 PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile NeurIPS 2023 PAC Learning and Stabilizing Hedonic Games: Towards a Unifying Approach. AAAI 2023 PAC-learning for Strategic Classification JMLR 2023 PAC Learning Linear Thresholds from Label Proportions NeurIPS 2023