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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)

Adaptive Scaling for Sparse Detection in Information Extraction ACL 2018 Adaptive Three Operator Splitting ICML 2018 Adaptive Weighting for Neural Machine Translation COLING 2018 Adaptivity to Smoothness in X-armed bandits COLT 2018 Adding One Neuron Can Eliminate All Bad Local Minima NeurIPS 2018 A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning ICML 2018 A Direct Sum Result for the Information Complexity of Learning COLT 2018 A Discriminative Latent-Variable Model for Bilingual Lexicon Induction EMNLP 2018 A Distributed Second-Order Algorithm You Can Trust ICML 2018 Advancements in Dueling Bandits IJCAI 2018 Adversarial Attacks on Stochastic Bandits NeurIPS 2018 Adversarially Robust Generalization Requires More Data NeurIPS 2018 Adversarially Robust Optimization with Gaussian Processes NeurIPS 2018 Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution NeurIPS 2018 A Fast Algorithm for Separated Sparsity via Perturbed Lagrangians AISTATS 2018 A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models ICML 2018 A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation COLT 2018 A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware? COLING 2018 A General Approach to Multi-Armed Bandits Under Risk Criteria COLT 2018 A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization IJCAI 2018 A Generic Approach for Escaping Saddle points AISTATS 2018 A Genetic Programming Approach to Designing Convolutional Neural Network Architectures IJCAI 2018 A Graph-theoretic Summary Evaluation for ROUGE EMNLP 2018 A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference JMLR 2018 A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping CVPR 2018