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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
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2000
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Papers (including subtopics)

CatBoost: unbiased boosting with categorical features NeurIPS 2018 Causal Bandits with Propagating Inference ICML 2018 Causal Structure Learning via Temporal Markov Networks PGM 2018 Celer: a Fast Solver for the Lasso with Dual Extrapolation ICML 2018 CENTEMENT at SemEval-2018 Task 1: Classification of Tweets using Multiple Thresholds with Self-correction and Weighted Conditional Probabilities SemEval 2018 Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval IJCAI 2018 Certified Computation from Unreliable Datasets COLT 2018 Certifying Some Distributional Robustness with Principled Adversarial Training ICLR 2018 Chaining Mutual Information and Tightening Generalization Bounds NeurIPS 2018 Challenges in Converting the Index Thomisticus Treebank into Universal Dependencies EMNLP 2018 Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality ICLR 2018 Characterizing Departures from Linearity in Word Translation ACL 2018 Characterizing Implicit Bias in Terms of Optimization Geometry ICML 2018 Characters or Morphemes: How to Represent Words? ACL 2018 Chinese Grammatical Error Diagnosis Based on Policy Gradient LSTM Model ACL 2018 Chinese NER Using Lattice LSTM ACL 2018 Classical Structured Prediction Losses for Sequence to Sequence Learning NAACL 2018 ClcNet: Improving the Efficiency of Convolutional Neural Network Using Channel Local Convolutions CVPR 2018 Cliche Expressions in Literary and Genre Novels COLING 2018 Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization ICML 2018 Clustering Induced Kernel Learning ACML 2018 Clustering Redemption–Beyond the Impossibility of Kleinberg’s Axioms NeurIPS 2018 Clustering Semi-Random Mixtures of Gaussians ICML 2018 CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition CVPR 2018 CoCoA: A General Framework for Communication-Efficient Distributed Optimization JMLR 2018