Papers
4,122 papers found
Polynomial-Delay Enumeration of Monotonic Graph Classes
Jan Ramon, Siegfried Nijssen
Prediction With Expert Advice For The Brier Game
Vladimir Vovk, Fedor Zhdanov
Properties of Monotonic Effects on Directed Acyclic Graphs
Tyler J. VanderWeele, James M. Robins
Provably Efficient Learning with Typed Parametric Models
Emma Brunskill, Bethany R. Leffler, Lihong Li et al.
Refinement of Reproducing Kernels
Yuesheng Xu, Haizhang Zhang
Reinforcement Learning in Finite MDPs: PAC Analysis
Alexander L. Strehl, Lihong Li, Michael L. Littman
Reproducing Kernel Banach Spaces for Machine Learning
Haizhang Zhang, Yuesheng Xu, Jun Zhang
RL-Glue: Language-Independent Software for Reinforcement-Learning Experiments
Brian Tanner, Adam White
Robustness and Regularization of Support Vector Machines
Huan Xu, Constantine Caramanis, Shie Mannor
Robust Process Discovery with Artificial Negative Events
Stijn Goedertier, David Martens, Jan Vanthienen et al.
Scalable Collaborative Filtering Approaches for Large Recommender Systems
Gábor Takács, István Pilászy, Bottyán Németh et al.
Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning
Halbert White, Karim Chalak
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent
Antoine Bordes, Léon Bottou, Patrick Gallinari
Similarity-based Classification: Concepts and Algorithms
Yihua Chen, Eric K. Garcia, Maya R. Gupta et al.
Sparse Online Learning via Truncated Gradient
John Langford, Lihong Li, Tong Zhang
Stable and Efficient Gaussian Process Calculations
Leslie Foster, Alex Waagen, Nabeela Aijaz et al.
Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks
Nikolai Slobodianik, Dmitry Zaporozhets, Neal Madras
Structure Spaces
Brijnesh J. Jain, Klaus Obermayer
Subgroup Analysis via Recursive Partitioning
Xiaogang Su, Chih-Ling Tsai, Hansheng Wang et al.
Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining
Petra Kralj Novak, Nada Lavrač
The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models
Ricardo Silva, Zoubin Ghahramani
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs
Han Liu, John Lafferty, Larry Wasserman
Transfer Learning for Reinforcement Learning Domains: A Survey
Matthew E. Taylor, Peter Stone