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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)

Heuristic Authorship Obfuscation ACL 2019 Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction IJCAI 2019 Hierarchical Context Enabled Recurrent Neural Network for Recommendation AAAI 2019 Hierarchical Discrete Distribution Decomposition for Match Density Estimation CVPR 2019 Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost ICCV 2019 Hierarchical Optimal Transport for Multimodal Distribution Alignment NeurIPS 2019 Hierarchical Pointer Net Parsing EMNLP 2019 High Dimensional Bayesian Optimization via Supervised Dimension Reduction IJCAI 2019 High Dimensional Inference in Partially Linear Models AISTATS 2019 High-Dimensional Optimization in Adaptive Random Subspaces NeurIPS 2019 High-dimensional Varying Index Coefficient Models via Stein's Identity JMLR 2019 High probability generalization bounds for uniformly stable algorithms with nearly optimal rate COLT 2019 Hint-Based Training for Non-Autoregressive Machine Translation EMNLP 2019 HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching ICCV 2019 HMLasso: Lasso with High Missing Rate IJCAI 2019 How degenerate is the parametrization of neural networks with the ReLU activation function? NeurIPS 2019 How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings? AAAI 2019 How do infinite width bounded norm networks look in function space? COLT 2019 How Do Neural Networks See Depth in Single Images? ICCV 2019 How Hard is Robust Mean Estimation? COLT 2019 How Hard Is the Manipulative Design of Scoring Systems? IJCAI 2019 How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection NAACL 2019 How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? AAAI 2019 How Powerful are Graph Neural Networks? ICLR 2019 How to Exploit Structure while Solving Weighted Model Integration Problems UAI 2019