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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)

Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies ICML 2016
A Box-Constrained Approach for Hard Permutation Problems ICML 2016
Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity ICML 2016
Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016
Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier ICML 2016
Dynamic Capacity Networks ICML 2016
Pricing a Low-regret Seller ICML 2016
Estimation from Indirect Supervision with Linear Moments ICML 2016
Learning and Inference via Maximum Inner Product Search ICML 2016
A Kernel Test of Goodness of Fit ICML 2016
Interacting Particle Markov Chain Monte Carlo ICML 2016
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity ICML 2016
Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics ICML 2016
The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM ICML 2016
Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning ICML 2016
Algorithms for Optimizing the Ratio of Submodular Functions ICML 2016
Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications ICML 2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016
Continuous Deep Q-Learning with Model-based Acceleration ICML 2016
Fixed Point Quantization of Deep Convolutional Networks ICML 2016
Provable Algorithms for Inference in Topic Models ICML 2016
Epigraph projections for fast general convex programming ICML 2016
Fast Algorithms for Segmented Regression ICML 2016
Energetic Natural Gradient Descent ICML 2016
Partition Functions from Rao-Blackwellized Tempered Sampling ICML 2016