'Deep Nonparametric Quantile Regression under Covariate Shift', by Xingdong Feng, Xin He, Yuling Jiao, Lican Kang, Caixing Wang.
http://jmlr.org/papers/v25/24-0906.html
#quantile #nonparametric #reweighted
'Deep Nonparametric Quantile Regression under Covariate Shift', by Xingdong Feng, Xin He, Yuling Jiao, Lican Kang, Caixing Wang.
http://jmlr.org/papers/v25/24-0906.html
#quantile #nonparametric #reweighted
'Value-Distributional Model-Based Reinforcement Learning', by Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters.
http://jmlr.org/papers/v25/23-0913.html
#reinforcement #quantile #learns
#statstab #202 Distribution regression in #R @vincentab
Thoughts: "distribution regression...allows us to measure the association b/w the predictor of interest and the outcome at different quantiles of the outcome"
'Continuous Prediction with Experts' Advice', by Nicholas J. A. Harvey, Christopher Liaw, Victor S. Portella.
http://jmlr.org/papers/v25/22-0803.html
#stochastic #prediction #quantile
'An Analysis of Quantile Temporal-Difference Learning', by Mark Rowland et al.
http://jmlr.org/papers/v25/23-0154.html
#quantile #reinforcement #stochastic
'Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks', by Guohao Shen, Yuling Jiao, Yuanyuan Lin, Joel L. Horowitz, Jian Huang.
http://jmlr.org/papers/v25/22-0488.html
#quantile #nonparametric #estimation
'Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond', by Nathan Kallus, Xiaojie Mao, Masatoshi Uehara.
http://jmlr.org/papers/v25/23-0661.html
#quantile #inference #estimation
'Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing', by Yibo Yan, Xiaozhou Wang, Riquan Zhang.
http://jmlr.org/papers/v24/22-1217.html
#quantile #lasso #regression
Expected Pinball Loss For Quantile Regression And Inverse CDF Estimation
Transfer Learning for High-dimensional Quantile Regression with Statistical Guarantee
'Flexible Model Aggregation for Quantile Regression', by Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani.
http://jmlr.org/papers/v24/22-0799.html
#quantile #quantiles #ensembles
Bounded Space Differentially Private Quantiles
Daniel Alabi, Omri Ben-Eliezer, Anamay Chaturvedi
Action editor: Gautam Kamath.
'Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds', by Likai Chen, Georg Keilbar, Wei Biao Wu.
http://jmlr.org/papers/v24/22-0021.html
#bandit #quantile #estimation
Bounded Space Differentially Private Quantiles
'Calibrated Multiple-Output Quantile Regression with Representation Learning', by Shai Feldman, Stephen Bates, Yaniv Romano.
http://jmlr.org/papers/v24/21-1280.html
#quantile #prediction #generative