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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)

Improving Prediction of Speech Activity Using Multi-Participant Respiratory State Interspeech 2017 Improving RANSAC-Based Segmentation Through CNN Encapsulation CVPR 2017 Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications NeurIPS 2017 Improving Semantic Composition with Offset Inference ACL 2017 Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic IJCAI 2017 Improving the Expected Improvement Algorithm NeurIPS 2017 Improving the Generalization Performance of Multi-class SVM via Angular Regularization IJCAI 2017 Improving Training of Deep Neural Networks via Singular Value Bounding CVPR 2017 Improving Variational Methods via Pairwise Linear Response Identities JMLR 2017 Improving Viterbi is Hard: Better Runtimes Imply Faster Clique Algorithms ICML 2017 Improving YANGsaf F0 Estimator with Adaptive Kalman Filter Interspeech 2017 Inapproximability of VC Dimension and Littlestone’s Dimension COLT 2017 Incomplete Label Distribution Learning IJCAI 2017 Incorporating Uncertainty into Deep Learning for Spoken Language Assessment ACL 2017 Incremental Decision Making Under Risk with the Weighted Expected Utility Model IJCAI 2017 Incremental Graph-based Neural Dependency Parsing EMNLP 2017 Independence clustering (without a matrix) NeurIPS 2017 Inferring Human Attention by Learning Latent Intentions IJCAI 2017 Influence Maximization with ε-Almost Submodular Threshold Functions NeurIPS 2017 Information Bottleneck Inspired Method For Chat Text Segmentation IJCNLP 2017 Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles JMLR 2017 Information-theoretic analysis of generalization capability of learning algorithms NeurIPS 2017 Information-theoretic limits of Bayesian network structure learning AISTATS 2017 Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications NeurIPS 2017 INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis SemEval 2017