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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
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2000
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Papers (including subtopics)

Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference IJCAI 2021 Domain-Independent Dominance of Adaptive Methods CVPR 2021 Dominant Resource Fairness with Meta-Types IJCAI 2021 Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship AISTATS 2021 DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks NeurIPS 2021 Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark NeurIPS 2021 Do Not Forget to Attend to Uncertainty While Mitigating Catastrophic Forgetting WACV 2021 Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence NeurIPS 2021 Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification ICML 2021 Do pretrained transformers infer telicity like humans? CoNLL 2021 DORO: Distributional and Outlier Robust Optimization ICML 2021 Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads OSDI 2021 Double/Debiased Machine Learning for Dynamic Treatment Effects NeurIPS 2021 Double Explore-then-Commit: Asymptotic Optimality and Beyond COLT 2021 Double Low-Rank Representation With Projection Distance Penalty for Clustering CVPR 2021 Double Machine Learning Density Estimation for Local Treatment Effects with Instruments NeurIPS 2021 Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation NAACL 2021 Doubly infinite residual neural networks: a diffusion process approach JMLR 2021 Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality ICML 2021 DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning ICML 2021 Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training ICML 2021 Do we read what we hear? Modeling orthographic influences on spoken word recognition EACL 2021 Do We Really Need Gold Samples for Sample Weighting Under Label Noise? WACV 2021 Do Wider Neural Networks Really Help Adversarial Robustness? NeurIPS 2021 DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation AAAI 2021