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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)

Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures CVPR 2017 Efficient Kernel Selection via Spectral Analysis IJCAI 2017 Efficient Label Contamination Attacks Against Black-Box Learning Models IJCAI 2017 Efficient Linear Programming for Dense CRFs CVPR 2017 Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes NeurIPS 2017 Efficient Online Bandit Multiclass Learning with Õ(√T) Regret ICML 2017 Efficient Online Linear Optimization with Approximation Algorithms NeurIPS 2017 Efficient Online Multi-robot Exploration via Distributed Sequential Greedy Assignment RSS 2017 Efficient PAC Learning from the Crowd COLT 2017 Efficient Private ERM for Smooth Objectives IJCAI 2017 Efficient Regret Minimization in Non-Convex Games ICML 2017 Efficient, Safe, and Probably Approximately Complete Learning of Action Models IJCAI 2017 Efficient Sampling from Time-Varying Log-Concave Distributions JMLR 2017 Efficient Second-Order Online Kernel Learning with Adaptive Embedding NeurIPS 2017 Efficient Solvers for Minimal Problems by Syzygy-Based Reduction CVPR 2017 Efficient tracking of a growing number of experts ALT 2017 Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems NeurIPS 2017 Efficient Weighted Model Integration via SMT-Based Predicate Abstraction IJCAI 2017 EigenNet: Towards Fast and Structural Learning of Deep Neural Networks IJCAI 2017 Eigenvalue Decay Implies Polynomial-Time Learnability for Neural Networks NeurIPS 2017 Eigenvector-Based Speech Mask Estimation Using Logistic Regression Interspeech 2017 Elastic Shape-From-Template With Spatially Sparse Deforming Forces CVPR 2017 Empirical Evaluation of Parallel Training Algorithms on Acoustic Modeling Interspeech 2017 Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters JMLR 2017 Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds COLT 2017