Papers
184,605 papers found
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction
Kwang I. Kim, Florian Steinke, Matthias Hein
Sensitivity analysis in HMMs with application to likelihood maximization
Pierre-arnaud Coquelin, Romain Deguest, Rémi Munos
Sequential effects reflect parallel learning of multiple environmental regularities
Matthew Wilder, Matt Jones, Michael Mozer
Setpoint regulation for stochastically interacting robots
N. Napp, S. Burden and E. Klavins
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
Sharing Features among Dynamical Systems with Beta Processes
Emily B. Fox, Michael I. Jordan, Erik B. Sudderth et al.
Similarity-based Classification: Concepts and Algorithms
Yihua Chen, Eric K. Garcia, Maya R. Gupta et al.
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining
George Konidaris, Andrew G. Barto
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks
Yoshua Bengio, James S. Bergstra
Slow Learners are Fast
Martin Zinkevich, John Langford, Alex J. Smola
Solving Stochastic Games
Liam M. Dermed, Charles L. Isbell
Sparse and Locally Constant Gaussian Graphical Models
Jean Honorio, Dimitris Samaras, Nikos Paragios et al.
Sparse Estimation Using General Likelihoods and Non-Factorial Priors
David P. Wipf, Srikantan S. Nagarajan
Sparse Metric Learning via Smooth Optimization
Yiming Ying, Kaizhu Huang, Colin Campbell
Sparse Online Learning via Truncated Gradient
John Langford, Lihong Li, Tong Zhang
Sparsistent Learning of Varying-coefficient Models with Structural Changes
Mladen Kolar, Le Song, Eric P. Xing
Spatial Normalized Gamma Processes
Vinayak Rao, Yee W. Teh
Speaker Comparison with Inner Product Discriminant Functions
Zahi Karam, Douglas Sturim, William M. Campbell
Stable and Efficient Gaussian Process Calculations
Leslie Foster, Alex Waagen, Nabeela Aijaz et al.
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
Boaz Nadler, Nathan Srebro, Xueyuan Zhou
Statistical Consistency of Top-k Ranking
Fen Xia, Tie-yan Liu, Hang Li
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
Ruben Coen-cagli, Peter Dayan, Odelia Schwartz
STDP enables spiking neurons to detect hidden causes of their inputs
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass