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

Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators NeurIPS 2021 Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning AISTATS 2021 Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021 Finite-time theory for momentum Q-learning UAI 2021 Finite-Trace and Generalized-Reactivity Specifications in Temporal Synthesis IJCAI 2021 First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems JMLR 2021 First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021 Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks AAAI 2021 Flamingos and Hedgehogs in the Croquet-Ground: Teaching Evaluation of NLP Systems for Undergraduate Students NAACL 2021 Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning NeurIPS 2021 Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage JMLR 2021 Flightplan: Dataplane Disaggregation and Placement for P4 Programs NSDI 2021 FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis ICML 2021 Focal Frequency Loss for Image Reconstruction and Synthesis ICCV 2021 Fooling a Complete Neural Network Verifier ICLR 2021 Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems L4DC 2021 Forecasting Reservoir Inflow via Recurrent Neural ODEs AAAI 2021 Foreseeing the Benefits of Incidental Supervision EMNLP 2021 Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations NeurIPS 2021 Formalizing the Generalization-Forgetting Trade-off in Continual Learning NeurIPS 2021 For self-supervised learning, Rationality implies generalization, provably ICLR 2021 Forster Decomposition and Learning Halfspaces with Noise NeurIPS 2021 Forty Years of Speech and Language Processing: From Bayes Decision Rule to Deep Learning Interspeech 2021 Foundations of Bayesian Learning from Synthetic Data AISTATS 2021 FP-NAS: Fast Probabilistic Neural Architecture Search CVPR 2021