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Parametric Return Density Estimation for Reinforcement Learning., , , , and . UAI, page 368-375. AUAI Press, (2010)Computationally efficient multi-label classification by least-squares probabilistic classifier., , and . ICASSP, page 2077-2080. IEEE, (2012)Relative Density-Ratio Estimation for Robust Distribution Comparison., , , , and . Neural Computation, 25 (5): 1324-1370 (2013)Adaptive truncated residual regression for fine-grained regression problems., , , and . ACML, volume 101 of Proceedings of Machine Learning Research, page 868-882. PMLR, (2019)Importance-weighted least-squares probabilistic classifier for covariate shift adaptation with application to human activity recognition., , and . Neurocomputing, (2012)Geodesic Gaussian kernels for value function approximation., , , and . Auton. Robots, 25 (3): 287-304 (2008)Least-Squares Conditional Density Estimation., , , , , and . IEICE Transactions, 93-D (3): 583-594 (2010)Feature Selection via l1-Penalized Squared-Loss Mutual Information., , and . IEICE Transactions, 96-D (7): 1513-1524 (2013)Parametric Return Density Estimation for Reinforcement Learning, , , , and . CoRR, (2012)Analysis and improvement of policy gradient estimation., , , and . Neural Networks, (2012)