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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
352
828
3,646
5,854
2000
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Papers (including subtopics)

Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes JMLR 2020 Fast Rates for Online Prediction with Abstention COLT 2020 Fast semantic parsing with well-typedness guarantees EMNLP 2020 Fast Transformers with Clustered Attention NeurIPS 2020 Fast Unbalanced Optimal Transport on a Tree NeurIPS 2020 F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation CVPR 2020 f-Divergence Variational Inference NeurIPS 2020 FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive Naturalistic Apollo Data Interspeech 2020 Feature Importance Ranking for Deep Learning NeurIPS 2020 Feature Noise Induces Loss Discrepancy Across Groups ICML 2020 Feature Selection using Stochastic Gates ICML 2020 Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests NeurIPS 2020 Feature Statistics Guided Efficient Filter Pruning IJCAI 2020 Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks AAAI 2020 FedBoost: A Communication-Efficient Algorithm for Federated Learning ICML 2020 Federated Accelerated Stochastic Gradient Descent NeurIPS 2020 Federated Bayesian Optimization via Thompson Sampling NeurIPS 2020 Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework AAAI 2020 FedSplit: an algorithmic framework for fast federated optimization NeurIPS 2020 Feedback graph regret bounds for Thompson Sampling and UCB ALT 2020 FENAS: Flexible and Expressive Neural Architecture Search EMNLP 2020 Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training AISTATS 2020 FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020 Few-Shot Bayesian Imitation Learning with Logical Program Policies AAAI 2020 Filter Grafting for Deep Neural Networks CVPR 2020