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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)

Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising CVPR 2017 Hypotheses testing on infinite random graphs ALT 2017 I Can’t Believe It’s Not Causal! Scalable Causal Consistency with No Slowdown Cascades NSDI 2017 Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables ICML 2017 Identification of Gaussian Process State Space Models NeurIPS 2017 Identifying a Minimal Class of Models for High--dimensional Data JMLR 2017 Identifying Best Interventions through Online Importance Sampling ICML 2017 Identifying Outlier Arms in Multi-Armed Bandit NeurIPS 2017 Identify the Nash Equilibrium in Static Games with Random Payoffs ICML 2017 Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization COLT 2017 Imitation learning for structured prediction in natural language processing EACL 2017 Implicitly-Defined Neural Networks for Sequence Labeling ACL 2017 Implicit Regularization in Matrix Factorization NeurIPS 2017 Importance-Aware Semantic Segmentation for Autonomous Driving System IJCAI 2017 Importance sampling for unbiased on-demand evaluation of knowledge base population EMNLP 2017 Improved Dynamic Regret for Non-degenerate Functions NeurIPS 2017 Improved Strongly Adaptive Online Learning using Coin Betting AISTATS 2017 Improved Strong Worst-case Upper Bounds for MDP Planning IJCAI 2017 Improved Subword Modeling for WFST-Based Speech Recognition Interspeech 2017 Improved Training of Wasserstein GANs NeurIPS 2017 Improving Gibbs Sampler Scan Quality with DoGS ICML 2017 Improving Group Decision-Making by Artificial Intelligence IJCAI 2017 Improving Interpretability of Deep Neural Networks With Semantic Information CVPR 2017 Improving Learning-from-Crowds through Expert Validation IJCAI 2017 Improving Pairwise Ranking for Multi-Label Image Classification CVPR 2017