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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

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52
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828
3,646
5,854
2000
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Papers (including subtopics)

BayesIMP: Uncertainty Quantification for Causal Data Fusion NeurIPS 2021 BayLIME: Bayesian local interpretable model-agnostic explanations UAI 2021 BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery NeurIPS 2021 BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021 Bellman-consistent Pessimism for Offline Reinforcement Learning NeurIPS 2021 Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms NeurIPS 2021 Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data L4DC 2021 Benchmarking Meta-embeddings: What Works and What Does Not EMNLP 2021 Benchmarking: Past, Present and Future ACL 2021 Benchmarking Simulation-Based Inference AISTATS 2021 Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods ICLR 2021 Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation NeurIPS 2021 Benign Overfitting of Constant-Stepsize SGD for Linear Regression COLT 2021 BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks ACL 2021 BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression EACL 2021 Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks ICML 2021 Best Arm Identification in Graphical Bilinear Bandits ICML 2021 Best-case lower bounds in online learning NeurIPS 2021 Best Model Identification: A Rested Bandit Formulation ICML 2021 Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel NeurIPS 2021 Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback AAAI 2021 Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training NeurIPS 2021 Better than Average: Paired Evaluation of NLP systems ACL 2021 Better Training using Weight-Constrained Stochastic Dynamics ICML 2021 Between Flexibility and Consistency: Joint Generation of Captions and Subtitles ACL 2021