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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Higher-Order Factorization Machines NeurIPS 2016 Highly-Smooth Zero-th Order Online Optimization COLT 2016 High-Rank Matrix Completion and Clustering under Self-Expressive Models NeurIPS 2016 High resolution neural connectivity from incomplete tracing data using nonnegative spline regression NeurIPS 2016 HMM-Based Non-Native Accent Assessment Using Posterior Features Interspeech 2016 Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than O(1/ε) NeurIPS 2016 Horizontally Scalable Submodular Maximization ICML 2016 How Far Are We From Solving Pedestrian Detection? CVPR 2016 How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models Interspeech 2016 How to Center Deep Boltzmann Machines JMLR 2016 How to Fake Multiply by a Gaussian Matrix ICML 2016 Hybrid Accelerated Optimization for Speech Recognition Interspeech 2016 Hybrid Copula Bayesian Networks PGM 2016 Hybrid Question Answering over Knowledge Base and Free Text COLING 2016 Hyperarticulated Production of Korean Glides by Age Group Interspeech 2016 Hyperparameter optimization with approximate gradient ICML 2016 Identifying the irreducible disjoint factors of a multivariate probability distribution PGM 2016 Importance Sampling Tree for Large-scale Empirical Expectation ICML 2016 Improved Dropout for Shallow and Deep Learning NeurIPS 2016 Improved Neural Network Initialization by Grouping Context-Dependent Targets for Acoustic Modeling Interspeech 2016 Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives ICML 2016 Improved Variational Inference with Inverse Autoregressive Flow NeurIPS 2016 Improving Boundary Estimation in Audiovisual Speech Activity Detection Using Bayesian Information Criterion Interspeech 2016 Improving PAC Exploration Using the Median Of Means NeurIPS 2016 Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling JMLR 2016