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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)

The Complexity of Explaining Neural Networks Through (group) Invariants ALT 2017 The Condorcet Principle for Multiwinner Elections: From Shortlisting to Proportionality IJCAI 2017 The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits AISTATS 2017 The Expressive Power of Neural Networks: A View from the Width NeurIPS 2017 The Formant Dynamics of Long Close Vowels in Three Varieties of Swedish Interspeech 2017 The Hidden Hubs Problem COLT 2017 The Impact of Random Models on Clustering Similarity JMLR 2017 The Impact of Treewidth on ASP Grounding and Solving IJCAI 2017 The LENA System Applied to Swedish: Reliability of the Adult Word Count Estimate Interspeech 2017 The limits of automatic summarisation according to ROUGE EACL 2017 The Loss Surface of Deep and Wide Neural Networks ICML 2017 The Marginal Value of Adaptive Gradient Methods in Machine Learning NeurIPS 2017 The MIT-LL, JHU and LRDE NIST 2016 Speaker Recognition Evaluation System Interspeech 2017 The Mixing of Markov Chains on Linear Extensions in Practice IJCAI 2017 The NTNU System at SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications Using Multiple Conditional Random Fields SemEval 2017 The Numerics of GANs NeurIPS 2017 Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank ICML 2017 The power of absolute discounting: all-dimensional distribution estimation NeurIPS 2017 The Power of Random Counterexamples ALT 2017 The Price of Differential Privacy for Online Learning ICML 2017 The Reversible Residual Network: Backpropagation Without Storing Activations NeurIPS 2017 The Role of Textualisation and Argumentation in Understanding the Machine Learning Process IJCAI 2017 The Sample Complexity of Online One-Class Collaborative Filtering ICML 2017 The Sample Complexity of Optimizing a Convex Function COLT 2017 The Scaling Limit of High-Dimensional Online Independent Component Analysis NeurIPS 2017