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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)

Consistent estimation of dynamic and multi-layer block models ICML 2015
On the Rate of Convergence and Error Bounds for LSTD(λ) ICML 2015
Variational Inference with Normalizing Flows ICML 2015
Convex Learning of Multiple Tasks and their Structure ICML 2015
K-hyperplane Hinge-Minimax Classifier ICML 2015
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process ICML 2015
Weight Uncertainty in Neural Network ICML 2015
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection ICML 2015
Hashing for Distributed Data ICML 2015
Large-scale Distributed Dependent Nonparametric Trees ICML 2015
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015
Generative Moment Matching Networks ICML 2015
Deep Learning with Limited Numerical Precision ICML 2015
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices ICML 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) ICML 2015
Scalable Variational Inference in Log-supermodular Models ICML 2015
Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015
Scalable Deep Poisson Factor Analysis for Topic Modeling ICML 2015
Hidden Markov Anomaly Detection ICML 2015
Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes ICML 2015
Convex Calibrated Surrogates for Hierarchical Classification ICML 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks ICML 2015
Discovering Temporal Causal Relations from Subsampled Data ICML 2015
On Symmetric and Asymmetric LSHs for Inner Product Search ICML 2015
Bayesian Multiple Target Localization ICML 2015