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

Contour location via entropy reduction leveraging multiple information sources NeurIPS 2018 Contrastive Learning from Pairwise Measurements NeurIPS 2018 Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation JMLR 2018 Convergence Analysis of Gradient Descent for Eigenvector Computation IJCAI 2018 Convergence diagnostics for stochastic gradient descent with constant learning rate AISTATS 2018 Convergence guarantees for a class of non-convex and non-smooth optimization problems ICML 2018 Convergence of Cubic Regularization for Nonconvex Optimization under KL Property NeurIPS 2018 Convergence of Langevin MCMC in KL-divergence ALT 2018 Convergence of Unregularized Online Learning Algorithms JMLR 2018 Convergence of Value Aggregation for Imitation Learning AISTATS 2018 Convergent Tree Backup and Retrace with Function Approximation ICML 2018 Convex Elicitation of Continuous Properties NeurIPS 2018 Convex Optimization with Unbounded Nonconvex Oracles using Simulated Annealing COLT 2018 Coordinate Descent Faceoff: Primal or Dual? ALT 2018 Coordinate Descent with Bandit Sampling NeurIPS 2018 Corpus Specificity in LSA and Word2vec: The Role of Out-of-Domain Documents ACL 2018 Correcting Length Bias in Neural Machine Translation EMNLP 2018 Correlation Tracking via Joint Discrimination and Reliability Learning CVPR 2018 Corrupt Bandits for Preserving Local Privacy ALT 2018 CosFace: Large Margin Cosine Loss for Deep Face Recognition CVPR 2018 COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning Interspeech 2018 Cost-aware Cascading Bandits IJCAI 2018 Counterfactual Resimulation for Causal Analysis of Rule-Based Models IJCAI 2018 Coupled Variational Bayes via Optimization Embedding NeurIPS 2018 Covariances, Robustness, and Variational Bayes JMLR 2018