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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)

Discrete Chebyshev Classifiers ICML 2014 Discrete-Continuous Depth Estimation from a Single Image CVPR 2014 Discrete Graph Hashing NeurIPS 2014 Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification CVPR 2014 Distance-Based Network Recovery under Feature Correlation NeurIPS 2014 Distributed Balanced Clustering via Mapping Coresets NeurIPS 2014 Distributed Bayesian Posterior Sampling via Moment Sharing NeurIPS 2014 Distributed Estimation, Information Loss and Exponential Families NeurIPS 2014 Distributed optimization of deeply nested systems AISTATS 2014 Distributed Parameter Estimation in Probabilistic Graphical Models NeurIPS 2014 Distributed Power-law Graph Computing: Theoretical and Empirical Analysis NeurIPS 2014 Distributed Stochastic Gradient MCMC ICML 2014 Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models NeurIPS 2014 Distribution-independent Reliable Learning COLT 2014 Divide-and-Conquer Learning by Anchoring a Conical Hull NeurIPS 2014 Do Deep Nets Really Need to be Deep? NeurIPS 2014 Doubly Stochastic Variational Bayes for non-Conjugate Inference ICML 2014 Dropout: A Simple Way to Prevent Neural Networks from Overfitting JMLR 2014 Dual online inference for latent Dirichlet allocation ACML 2014 Dual Query: Practical Private Query Release for High Dimensional Data ICML 2014 Dynamic Rank Factor Model for Text Streams NeurIPS 2014 Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule JMLR 2014 Edge-aware Gradient Domain Optimization Framework for Image Filtering by Local Propagation CVPR 2014 Effective Bayesian Modeling of Groups of Related Count Time Series ICML 2014 Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014