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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
5,854
2000
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Papers (including subtopics)

Neural Networks and Rational Functions ICML 2017 Neural Optimizer Search with Reinforcement Learning ICML 2017 Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks ICML 2017 Neural Variational Inference and Learning in Undirected Graphical Models NeurIPS 2017 Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World IJCAI 2017 New bounds on the price of bandit feedback for mistake-bounded online multiclass learning ALT 2017 New Canonical Representations by Augmenting OBDDs with Conjunctive Decomposition (Extended Abstract) IJCAI 2017 Newton-Type Methods for Inference in Higher-Order Markov Random Fields CVPR 2017 Node Pruning Based on Entropy of Weights and Node Activity for Small-Footprint Acoustic Model Based on Deep Neural Networks Interspeech 2017 Noise-Blind Image Deblurring CVPR 2017 Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective EMNLP 2017 Noisy Population Recovery from Unknown Noise COLT 2017 Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation CVPR 2017 No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously IJCAI 2017 Non-Adaptive Randomized Algorithm for Group Testing ALT 2017 Non-convex Finite-Sum Optimization Via SCSG Methods NeurIPS 2017 Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis COLT 2017 Nonlinear Acceleration of Stochastic Algorithms NeurIPS 2017 Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming IJCAI 2017 Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel IJCAI 2017 Nonlinear random matrix theory for deep learning NeurIPS 2017 Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting CVPR 2017 Nonparametrically Trained Probabilistic Linear Discriminant Analysis for i-Vector Speaker Verification Interspeech 2017 Nonparametric Online Machine Learning with Kernels IJCAI 2017 Non-parametric Policy Search with Limited Information Loss JMLR 2017