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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)

Efficient Training of Language Models using Few-Shot Learning ICML 2023 Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks NeurIPS 2023 Efficient Video Prediction via Sparsely Conditioned Flow Matching ICCV 2023 eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms AAAI 2023 EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks NeurIPS 2023 EINNET: Optimizing Tensor Programs with Derivation-Based Transformations OSDI 2023 EINNs: Epidemiologically-Informed Neural Networks AAAI 2023 Elastic Aggregation for Federated Optimization CVPR 2023 Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net JMLR 2023 Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality AAAI 2023 ELFNet: Evidential Local-global Fusion for Stereo Matching ICCV 2023 Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback NeurIPS 2023 Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration ICML 2023 Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization NeurIPS 2023 Elo Uncovered: Robustness and Best Practices in Language Model Evaluation EMNLP 2023 ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models ICML 2023 Embeddings at BLP-2023 Task 2: Optimizing Fine-Tuned Transformers with Cost-Sensitive Learning for Multiclass Sentiment Analysis EMNLP 2023 Embracing the chaos: analysis and diagnosis of numerical instability in variational flows NeurIPS 2023 Emergence of Sparse Representations from Noise ICML 2023 Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions ICML 2023 EmotionNAS: Two-stream Neural Architecture Search for Speech Emotion Recognition Interspeech 2023 Empirical Bayes via ERM and Rademacher complexities: the Poisson model COLT 2023 Empirical Sufficiency Lower Bounds for Language Modeling with Locally-Bootstrapped Semantic Structures ACL 2023 EM Pre-training for Multi-party Dialogue Response Generation ACL 2023 EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization ICCV 2023