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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)

Strategyproof and Approximately Maxmin Fair Share Allocation of Chores IJCAI 2019 Streaming Bayesian Inference for Crowdsourced Classification NeurIPS 2019 Streaming Principal Component Analysis From Incomplete Data JMLR 2019 Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects CVPR 2019 Striking the Right Balance With Uncertainty CVPR 2019 StrokeNet: A Neural Painting Environment ICLR 2019 Structural Causal Bandits with Non-Manipulable Variables AAAI 2019 Structured Prediction with Projection Oracles NeurIPS 2019 Structured Pruning of Neural Networks With Budget-Aware Regularization CVPR 2019 Structured Robust Submodular Maximization: Offline and Online Algorithms AISTATS 2019 Structured Variational Inference in Continuous Cox Process Models NeurIPS 2019 Structure Learning for Safe Policy Improvement IJCAI 2019 Structure Learning with Side Information: Sample Complexity NeurIPS 2019 Studying Summarization Evaluation Metrics in the Appropriate Scoring Range ACL 2019 Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages NAACL 2019 Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites EMNLP 2019 Styrian Dialect Classification: Comparing and Fusing Classifiers Based on a Feature Selection Using a Genetic Algorithm Interspeech 2019 Subgradient Descent Learns Orthogonal Dictionaries ICLR 2019 Sublinear quantum algorithms for training linear and kernel-based classifiers ICML 2019 Submodular Batch Selection for Training Deep Neural Networks IJCAI 2019 Submodular Maximization beyond Non-negativity: Guarantees, Fast Algorithms, and Applications ICML 2019 Submodular Optimization over Streams with Inhomogeneous Decays AAAI 2019 Subsampled Renyi Differential Privacy and Analytical Moments Accountant AISTATS 2019 Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks NeurIPS 2019 Subspace Inference for Bayesian Deep Learning UAI 2019