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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
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2000
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Papers (including subtopics)

Game of Gradients: Mitigating Irrelevant Clients in Federated Learning AAAI 2021 Game-theoretic Analysis of Effort Allocation of Contributors to Public Projects IJCAI 2021 GAML-BERT: Improving BERT Early Exiting by Gradient Aligned Mutual Learning EMNLP 2021 GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences AISTATS 2021 GAN Vocoder: Multi-Resolution Discriminator Is All You Need Interspeech 2021 Gated Linear Networks AAAI 2021 Gated Transformer for Robust De-noised Sequence-to-Sequence Modelling EMNLP 2021 Gaussian Approximation for Bias Reduction in Q-Learning JMLR 2021 GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning AAAI 2021 Gaussian Process-Based Real-Time Learning for Safety Critical Applications ICML 2021 Gaussian process nowcasting: application to COVID-19 mortality reporting UAI 2021 Gaussian Process Priors for View-Aware Inference AAAI 2021 GDP: Stabilized Neural Network Pruning via Gates With Differentiable Polarization ICCV 2021 GemBag: Group Estimation of Multiple Bayesian Graphical Models JMLR 2021 gENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena ACL 2021 Generalised Lipschitz Regularisation Equals Distributional Robustness ICML 2021 Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis NeurIPS 2021 Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability NeurIPS 2021 Generalization Bounds for Stochastic Saddle Point Problems AISTATS 2021 Generalization Bounds for (Wasserstein) Robust Optimization NeurIPS 2021 Generalization Bounds in the Presence of Outliers: a Median-of-Means Study ICML 2021 Generalization bounds via distillation ICLR 2021 Generalization Error Bound for Hyperbolic Ordinal Embedding ICML 2021 Generalization error bounds for deep unfolding RNNs UAI 2021 Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime NeurIPS 2021