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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)

An efficient query learning algorithm for zero-suppressed binary decision diagrams ALT 2017 An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation ICML 2017 An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NeurIPS 2017 An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level Objective EMNLP 2017 An ‘End-to-Evolution’ Hybrid Approach for Snore Sound Classification Interspeech 2017 A Nested Attention Neural Hybrid Model for Grammatical Error Correction ACL 2017 A Network Framework for Noisy Label Aggregation in Social Media ACL 2017 A Neural Parametric Singing Synthesizer Interspeech 2017 A New Alternating Direction Method for Linear Programming NeurIPS 2017 A New Theory for Matrix Completion NeurIPS 2017 An Exact Penalty Method for Locally Convergent Maximum Consensus CVPR 2017 An experimental analysis of Noise-Contrastive Estimation: the noise distribution matters EACL 2017 A-NICE-MC: Adversarial Training for MCMC NeurIPS 2017 An Improved Approximation Algorithm for the Subpath Planning Problem and Its Generalization IJCAI 2017 An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits COLT 2017 An Information Theoretic Analysis of the Temporal Synchrony Between Head Gestures and Prosodic Patterns in Spontaneous Speech Interspeech 2017 An Information-Theoretic Route from Generalization in Expectation to Generalization in Probability AISTATS 2017 An inner-loop free solution to inverse problems using deep neural networks NeurIPS 2017 An Investigation of Emotion Dynamics and Kalman Filtering for Speech-Based Emotion Prediction Interspeech 2017 An Investigation of Emotion Prediction Uncertainty Using Gaussian Mixture Regression Interspeech 2017 Annealed f-Smoothing as a Mechanism to Speed up Neural Network Training Interspeech 2017 Annular Augmentation Sampling AISTATS 2017 An Objective Critical Distance Measure Based on the Relative Level of Spectral Valley Interspeech 2017 Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere AISTATS 2017 A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms JMLR 2017