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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)

Representational Strengths and Limitations of Transformers NeurIPS 2023 Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency ICLR 2023 Reproducibility in NLP: What Have We Learned from the Checklist? ACL 2023 Reproducibility of the Methods in Medical Imaging with Deep Learning. MIDL 2023 Reproducibility of Training Deep Learning Models for Medical Image Analysis MIDL 2023 Resetting the Optimizer in Deep RL: An Empirical Study NeurIPS 2023 Reshaping State-Space Search: From Dominance to Contrastive Analysis AAAI 2023 Residual Alignment: Uncovering the Mechanisms of Residual Networks NeurIPS 2023 Residual-based error bound for physics-informed neural networks UAI 2023 Resilient Binary Neural Network AAAI 2023 Resilient Constrained Learning NeurIPS 2023 ResMem: Learn what you can and memorize the rest NeurIPS 2023 Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling COLT 2023 Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning NeurIPS 2023 ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction NeurIPS 2023 Responsible AI (RAI) Games and Ensembles NeurIPS 2023 Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption NeurIPS 2023 Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers ICML 2023 Restricted Strong Convexity of Deep Learning Models with Smooth Activations ICLR 2023 Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent EMNLP 2023 Rethink DARTS Search Space and Renovate a New Benchmark ICML 2023 Rethinking Backdoor Attacks ICML 2023 Rethinking Data Distillation: Do Not Overlook Calibration ICCV 2023 Rethinking Data-Free Quantization as a Zero-Sum Game AAAI 2023 Rethinking Document-Level Relation Extraction: A Reality Check ACL 2023