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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Sparse meta-Gaussian information bottleneck ICML 2014
Nonparametric Estimation of Renyi Divergence and Friends ICML 2014
Bayesian Optimization with Inequality Constraints ICML 2014
Multiple Testing under Dependence via Semiparametric Graphical Models ICML 2014
Hierarchical Dirichlet Scaling Process ICML 2014
A PAC-Bayesian bound for Lifelong Learning ICML 2014
Communication-Efficient Distributed Optimization using an Approximate Newton-type Method ICML 2014
Concept Drift Detection Through Resampling ICML 2014
A Bayesian Wilcoxon signed-rank test based on the Dirichlet process ICML 2014
Min-Max Problems on Factor Graphs ICML 2014
Distributed Stochastic Gradient MCMC ICML 2014
Optimal Mean Robust Principal Component Analysis ICML 2014
A Physics-Based Model Prior for Object-Oriented MDPs ICML 2014
Outlier Path: A Homotopy Algorithm for Robust SVM ICML 2014
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data ICML 2014
Finito: A faster, permutable incremental gradient method for big data problems ICML 2014
Ensemble Methods for Structured Prediction ICML 2014
Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance ICML 2014
Preserving Modes and Messages via Diverse Particle Selection ICML 2014
Nonlinear Information-Theoretic Compressive Measurement Design ICML 2014
Dual Query: Practical Private Query Release for High Dimensional Data ICML 2014
Deep Boosting ICML 2014
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models ICML 2014
Learning the Parameters of Determinantal Point Process Kernels ICML 2014
Discrete Chebyshev Classifiers ICML 2014