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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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'25

Papers (including subtopics)

Diameter-Based Active Learning ICML 2017 Dictionary Learning Based on Sparse Distribution Tomography ICML 2017 Differentiable Learning of Submodular Models NeurIPS 2017 Differentiable Scheduled Sampling for Credit Assignment ACL 2017 Differentially private Bayesian learning on distributed data NeurIPS 2017 Differentially Private Chi-squared Test by Unit Circle Mechanism ICML 2017 Differentially Private Empirical Risk Minimization Revisited: Faster and More General NeurIPS 2017 Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models ICML 2017 Differential Privacy for Bayesian Inference through Posterior Sampling JMLR 2017 Diffusion Approximations for Online Principal Component Estimation and Global Convergence NeurIPS 2017 Dilated Recurrent Neural Networks NeurIPS 2017 DIRTREL: Robust Trajectory Optimization with Ellipsoidal Disturbances and LQR Feedback RSS 2017 Disambiguating Energy Disaggregation: A Collective Probabilistic Approach IJCAI 2017 Discovering Language in Marmoset Vocalization Interspeech 2017 Discovering Potential Correlations via Hypercontractivity NeurIPS 2017 Discovering Relevance-Dependent Bicluster Structure from Relational Data IJCAI 2017 Discrete Duration Model for Speech Synthesis Interspeech 2017 Discretely Coding Semantic Rank Orders for Supervised Image Hashing CVPR 2017 Discriminative Bayesian Nonparametric Clustering IJCAI 2017 Discriminative Information Retrieval for Question Answering Sentence Selection EACL 2017 Discriminative Optimization: Theory and Applications to Point Cloud Registration CVPR 2017 Discriminative State Space Models NeurIPS 2017 Dissipativity Theory for Nesterov’s Accelerated Method ICML 2017 Distributed Accelerated Proximal Coordinate Gradient Methods IJCAI 2017 Distributed Adaptive Sampling for Kernel Matrix Approximation AISTATS 2017