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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families NeurIPS 2019 A Powerful Global Test Statistic for Functional Statistical Inference AAAI 2019 Approximability of Constant-horizon Constrained POMDP IJCAI 2019 Approximability of Discriminators Implies Diversity in GANs ICLR 2019 Approximate Bayesian Inference in Spatial Environments RSS 2019 Approximate Guarantees for Dictionary Learning COLT 2019 Approximate Inference Turns Deep Networks into Gaussian Processes NeurIPS 2019 Approximate Kernel Selection with Strong Approximate Consistency AAAI 2019 Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis IJCAI 2019 Approximate Optimal Transport for Continuous Densities with Copulas IJCAI 2019 Approximate Profile Maximum Likelihood JMLR 2019 Approximate Relative Value Learning for Average-reward Continuous State MDPs UAI 2019 Approximate Stream Reasoning with Metric Temporal Logic under Uncertainty AAAI 2019 Approximating Integer Solution Counting via Space Quantification for Linear Constraints IJCAI 2019 Approximation and non-parametric estimation of ResNet-type convolutional neural networks ICML 2019 Approximation Hardness for A Class of Sparse Optimization Problems JMLR 2019 Approximations of the Restless Bandit Problem JMLR 2019 A Practical Semi-Parametric Contextual Bandit IJCAI 2019 A Preliminary Study of Charismatic Speech on YouTube: Correlating Prosodic Variation with Counts of Subscribers, Views and Likes Interspeech 2019 A Primal Dual Formulation For Deep Learning With Constraints NeurIPS 2019 A Principled Approach for Learning Task Similarity in Multitask Learning IJCAI 2019 A Probabilistic Derivation of LASSO and L12-Norm Feature Selections AAAI 2019 A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent ICML 2019 ARAML: A Stable Adversarial Training Framework for Text Generation EMNLP 2019 A Recursive Algorithm for Projected Model Counting AAAI 2019