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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)

Quantifying Learning Guarantees for Convex but Inconsistent Surrogates NeurIPS 2018 Quantifying training challenges of dependency parsers COLING 2018 QuantTree: Histograms for Change Detection in Multivariate Data Streams ICML 2018 Quasi-Monte Carlo Variational Inference ICML 2018 Query Answering in Propositional Circumscription IJCAI 2018 Query Complexity of Bayesian Private Learning NeurIPS 2018 Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures AISTATS 2018 Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract) IJCAI 2018 Radially-Distorted Conjugate Translations CVPR 2018 Random Feature Stein Discrepancies NeurIPS 2018 Randomized Block Cubic Newton Method ICML 2018 Ranking Distributions based on Noisy Sorting ICML 2018 RankME: Reliable Human Ratings for Natural Language Generation NAACL 2018 Rate of Convergence of k-Nearest-Neighbor Classification Rule JMLR 2018 Rates of Convergence of Spectral Methods for Graphon Estimation ICML 2018 Ray: A Distributed Framework for Emerging AI Applications OSDI 2018 RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials CVPR 2018 Reachability Analysis of Deep Neural Networks with Provable Guarantees IJCAI 2018 Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks EMNLP 2018 Reasoning about NP-complete Constraints IJCAI 2018 Recasting Gradient-Based Meta-Learning as Hierarchical Bayes ICLR 2018 Reconstructing Neutral Speech from Tracheoesophageal Speech Interspeech 2018 Recurrent Neural Network Language Model Adaptation for Conversational Speech Recognition Interspeech 2018 Recurrent Neural Networks as Weighted Language Recognizers NAACL 2018 Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure COLT 2018