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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)

Robust and Scalable Differentiable Neural Computer for Question Answering ACL 2018 Robust and Scalable Models of Microbiome Dynamics ICML 2018 Robust Feature Selection on Incomplete Data IJCAI 2018 Robust Hypothesis Testing Using Wasserstein Uncertainty Sets NeurIPS 2018 Robust Learning of Fixed-Structure Bayesian Networks NeurIPS 2018 Robust Locally-Linear Controllable Embedding AISTATS 2018 Robust Maximization of Non-Submodular Objectives AISTATS 2018 Robust Multi-view Learning via Half-quadratic Minimization IJCAI 2018 Robustness of classifiers to uniform ℓ_p and Gaussian noise AISTATS 2018 Robustness of Classifiers to Universal Perturbations: A Geometric Perspective ICLR 2018 Robust Obstacle Avoidance using Tube NMPC RSS 2018 Robust Subspace Approximation in a Stream NeurIPS 2018 Robust Topological Inference: Distance To a Measure and Kernel Distance JMLR 2018 Role of Regularization in the Prediction of Valence from Speech Interspeech 2018 Rotation Averaging and Strong Duality CVPR 2018 RSG: Beating Subgradient Method without Smoothness and Strong Convexity JMLR 2018 R-SVM+: Robust Learning with Privileged Information IJCAI 2018 Rule- and Learning-based Methods for Bridging Resolution in the ARRAU Corpus NAACL 2018 SADAGRAD: Strongly Adaptive Stochastic Gradient Methods ICML 2018 SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate ICML 2018 Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display CVPR 2018 Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion NeurIPS 2018 Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018 Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees RSS 2018 Sampling Informative Training Data for RNN Language Models ACL 2018