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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
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2000
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Papers (including subtopics)

Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation ACL 2022 Do Current Multi-Task Optimization Methods in Deep Learning Even Help? NeurIPS 2022 Do Differentiable Simulators Give Better Policy Gradients? ICML 2022 Does BERT Know that the IS-A Relation Is Transitive? ACL 2022 Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on a Syntactic Task ACL 2022 Does Joint Training Really Help Cascaded Speech Translation? EMNLP 2022 Does Momentum Change the Implicit Regularization on Separable Data? NeurIPS 2022 Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED ACL 2022 Does Simultaneous Speech Translation need Simultaneous Models? EMNLP 2022 Does Summary Evaluation Survive Translation to Other Languages? NAACL 2022 Does the Data Induce Capacity Control in Deep Learning? ICML 2022 Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract) AAAI 2022 Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features ICLR 2022 Do Language Models Understand Measurements? EMNLP 2022 Domain Adaptation for Time Series Forecasting via Attention Sharing ICML 2022 Domain Adaptation meets Individual Fairness. And they get along. NeurIPS 2022 Domain Adaptation via Maximizing Surrogate Mutual Information IJCAI 2022 Domain Generalization through the Lens of Angular Invariance IJCAI 2022 Domain Generalization without Excess Empirical Risk NeurIPS 2022 Domain-Lifted Sampling for Universal Two-Variable Logic and Extensions AAAI 2022 Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation NeurIPS 2022 Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text Generation NAACL 2022 Do Residual Neural Networks discretize Neural Ordinary Differential Equations? NeurIPS 2022 Double Control Variates for Gradient Estimation in Discrete Latent Variable Models AISTATS 2022 DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python JMLR 2022