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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)

Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo ICML 2017 Frame-based Data Factorizations ICML 2017 Frank-Wolfe Algorithms for Saddle Point Problems AISTATS 2017 Fried Binary Embedding for High-Dimensional Visual Features CVPR 2017 From Bayesian Sparsity to Gated Recurrent Nets NeurIPS 2017 From Decimation to Local Search and Back: A New Approach to MaxSAT IJCAI 2017 From Patches to Images: A Nonparametric Generative Model ICML 2017 From which world is your graph NeurIPS 2017 Full Resolution Image Compression With Recurrent Neural Networks CVPR 2017 Fundamental Conditions for Low-CP-Rank Tensor Completion JMLR 2017 Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent COLT 2017 Further Results on Predicting Cognitive Abilities for Adaptive Visualizations IJCAI 2017 Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds NSDI 2017 Gain Compensation for Fast i-Vector Extraction Over Short Duration Interspeech 2017 Gap Safe Screening Rules for Sparsity Enforcing Penalties JMLR 2017 Gated End-to-End Memory Networks EACL 2017 Gaussian process based nonlinear latent structure discovery in multivariate spike train data NeurIPS 2017 Gaussian Quadrature for Kernel Features NeurIPS 2017 Generalization and Equilibrium in Generative Adversarial Nets (GANs) ICML 2017 Generalization Error of Invariant Classifiers AISTATS 2017 Generalization for Adaptively-chosen Estimators via Stable Median COLT 2017 Generalization Properties of Learning with Random Features NeurIPS 2017 Generalized Conditional Gradient for Sparse Estimation JMLR 2017 Generalized Pólya Urn for Time-Varying Pitman-Yor Processes JMLR 2017 Generalized SURE for optimal shrinkage of singular values in low-rank matrix denoising JMLR 2017