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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)

Gaussian Process Kernels for Pattern Discovery and Extrapolation ICML 2013
Algorithms for Direct 0–1 Loss Optimization in Binary Classification ICML 2013
Exploiting Ontology Structures and Unlabeled Data for Learning ICML 2013
O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions ICML 2013
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013
On the importance of initialization and momentum in deep learning ICML 2013
Intersecting singularities for multi-structured estimation ICML 2013
Smooth Operators ICML 2013
The Cross-Entropy Method Optimizes for Quantiles ICML 2013
Topic Discovery through Data Dependent and Random Projections ICML 2013
Bayesian Learning of Recursively Factored Environments ICML 2013
The Bigraphical Lasso ICML 2013
Almost Optimal Exploration in Multi-Armed Bandits ICML 2013
Consistency of Online Random Forests ICML 2013
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013
Expensive Function Optimization with Stochastic Binary Outcomes ICML 2013
Multiple-source cross-validation ICML 2013
Learning Triggering Kernels for Multi-dimensional Hawkes Processes ICML 2013
On the difficulty of training recurrent neural networks ICML 2013
Maxout Networks ICML 2013
Deep learning with COTS HPC systems ICML 2013
Learning Policies for Contextual Submodular Prediction ICML 2013
Safe Screening of Non-Support Vectors in Pathwise SVM Computation ICML 2013
Cost-sensitive Multiclass Classification Risk Bounds ICML 2013
Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models ICML 2013