Papers
4,122 papers found
Evolving GPU Machine Code
Cleomar Pereira da Silva, Douglas Mota Dias, Cristiana Bentes et al.
Exceptional Rotations of Random Graphs: A VC Theory
Louigi Addario-Berry, Shankar Bhamidi, Sébastien Bubeck et al.
Existence and Uniqueness of Proper Scoring Rules
Evgeni Y. Ovcharov
Fast Cross-Validation via Sequential Testing
Tammo Krueger, Danny Panknin, Mikio Braun
Fast Rates in Statistical and Online Learning
Tim van Erven, Peter D. Grünwald, Nishant A. Mehta et al.
Flexible High-Dimensional Classification Machines and Their Asymptotic Properties
Xingye Qiao, Lingsong Zhang
From Dependency to Causality: A Machine Learning Approach
Gianluca Bontempi, Maxime Flauder
Generalized Hierarchical Kernel Learning
Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan
Geometric Intuition and Algorithms for Ev--SVM
Álvaro Barbero, Akiko Takeda, Jorge López
Geometry and Expressive Power of Conditional Restricted Boltzmann Machines
Guido Montúfar, Nihat Ay, Keyan Ghazi-Zahedi
Global Convergence of Online Limited Memory BFGS
Aryan Mokhtari, Alejandro Ribeiro
Graphical Models via Univariate Exponential Family Distributions
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen et al.
Iterative and Active Graph Clustering Using Trace Norm Minimization Without Cluster Size Constraints
Nir Ailon, Yudong Chen, Huan Xu
Joint Estimation of Multiple Precision Matrices with Common Structures
Wonyul Lee, Yufeng Liu
Lasso Screening Rules via Dual Polytope Projection
Jie Wang, Peter Wonka, Jieping Ye
Learning Equilibria of Games via Payoff Queries
John Fearnley, Martin Gairing, Paul W. Goldberg et al.
Learning Sparse Low-Threshold Linear Classifiers
Sivan Sabato, Shai Shalev-Shwartz, Nathan Srebro et al.
Learning Theory of Randomized Kaczmarz Algorithm
Junhong Lin, Ding-Xuan Zhou
Learning the Structure and Parameters of Large-Population Graphical Games from Behavioral Data
Jean Honorio, Luis Ortiz
Learning to Identify Concise Regular Expressions that Describe Email Campaigns
Paul Prasse, Christoph Sawade, Niels Landwehr et al.
Learning Transformations for Clustering and Classification
Qiang Qiu, Guillermo Sapiro
Learning Using Privileged Information: Similarity Control and Knowledge Transfer
Vladimir Vapnik, Rauf Izmailov
Learning with the Maximum Correntropy Criterion Induced Losses for Regression
Yunlong Feng, Xiaolin Huang, Lei Shi et al.