Papers
176,624 papers found
Regret Bounds for the Adaptive Control of Linear Quadratic Systems
Yasin Abbasi-Yadkori, Csaba Szepesvári
Regularized Laplacian Estimation and Fast Eigenvector Approximation
Patrick O. Perry, Michael W. Mahoney
Reinforcement Learning using Kernel-Based Stochastic Factorization
Andre Barreto, Doina Precup, Joelle Pineau
Relational Learning with One Network: An Asymptotic Analysis
Rongjing Xiang, Jennifer Neville
Relative Density-Ratio Estimation for Robust Distribution Comparison
Makoto Yamada, Taiji Suzuki, Takafumi Kanamori et al.
Relative Entropy Inverse Reinforcement Learning
Abdeslam Boularias, Jens Kober, Jan Peters
Revisiting MAP Estimation, Message Passing and Perfect Graphs
James Foulds, Nicholas Navaroli, Padhraic Smyth et al.
Robust approachability and regret minimization in games with partial monitoring
Shie Mannor, Vianney Perchet, Gilles Stoltz
Robust Approximate Bilinear Programming for Value Function Approximation
Marek Petrik, Shlomo Zilberstein
Robust Bayesian Matrix Factorisation
Balaji Lakshminarayanan, Guillaume Bouchard, Cedric Archambeau
Robust Gaussian Process Regression with a Student- Likelihood
Pasi Jylänki, Jarno Vanhatalo, Aki Vehtari
Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets
Sainbaya Sukhbaatar, Takaki Makino, Kazuyuki Aihara et al.
Robust Lasso with missing and grossly corrupted observations
Nasser M. Nasrabadi, Trac D. Tran, Nam Nguyen
Robust Multi-Class Gaussian Process Classification
Daniel Hernández-lobato, Jose M. Hernández-lobato, Pierre Dupont
RTRMC: A Riemannian trust-region method for low-rank matrix completion
Nicolas Boumal, Pierre-antoine Absil
Sample Complexity Bounds for Differentially Private Learning
Kamalika Chaudhuri, Daniel Hsu
Scalable Training of Mixture Models via Coresets
Dan Feldman, Matthew Faulkner, Andreas Krause
Scikit-learn: Machine Learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al.
See the Tree Through the Lines: The Shazoo Algorithm
Fabio Vitale, Nicolò Cesa-bianchi, Claudio Gentile et al.
Select and Sample - A Model of Efficient Neural Inference and Learning
Jacquelyn A. Shelton, Abdul S. Sheikh, Pietro Berkes et al.
Selecting Receptive Fields in Deep Networks
Adam Coates, Andrew Y. Ng
Selecting the State-Representation in Reinforcement Learning
Odalric-ambrym Maillard, Daniil Ryabko, Rémi Munos
Selective Prediction of Financial Trends with Hidden Markov Models
Dmitry Pidan, Ran El-Yaniv
Semantic Labeling of 3D Point Clouds for Indoor Scenes
Hema S. Koppula, Abhishek Anand, Thorsten Joachims et al.
Semi-supervised Learning by Higher Order Regularization
Xueyuan Zhou, Mikhail Belkin