Heteroscedasticity

Related papers: 19

Top Cited Papers

Most likely heteroscedastic Gaussian process regression

Kristian Kersting, Christian Plagemann, Patrick Pfaff, Wolfram Burgard

Citations: 313 • 2007

Robot Learning by Demonstration with local Gaussian process regression

Matti Schneider, Wolfgang Ertel

Citations: 109 • 2010

Least-Squares Conditional Density Estimation

Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara

Citations: 63 • 2010

Uncertainty Estimation for Data-Driven Visual Odometry

Gabriele Costante, Michele Mancini

Citations: 49 • 2020

Conditional Density Estimation via Least-Squares Density Ratio Estimation

Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara

Citations: 44 • 2010

Multiobjective Optimization Based on Expensive Robotic Experiments under Heteroscedastic Noise

Ryo Ariizumi, Matthew Tesch, Kenta Kato, Howie Choset, Fumitoshi Matsuno

Citations: 30 • 2016

Heteroscedastic Treed Bayesian Optimisation

John-Alexander M. Assael, Ziyu Wang

Citations: 25 • 2014

Factors Associated With Hospital Decisions to Purchase Robotic Surgical Systems

Chan Shen, Dian Gu, Roger Klein, Shouhao Zhou, Ya‐Chen Tina Shih, Tracy Thomas, David I. Soybel, Peter W. Dillon

Citations: 19 • 2020

Extended Target Tracking in Human–Robot Coexisting Environments via Multisensor Information Fusion: A Heteroscedastic Gaussian Process Regression-Based Approach

Pritam Paral, Amitava Chatterjee, Anjan Rakshit, Sankar K. Pal

Citations: 16 • 2023

Gaussian processes with input-dependent noise variance for wireless signal strength-based localization

Renato Miyagusuku, Atsushi Yamashita, Hajime Asama

Citations: 14 • 2015

Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization

Voot Tangkaratt, Ning Xie, Masashi Sugiyama

Citations: 13 • 2014

Expensive multiobjective optimization for robotics with consideration of heteroscedastic noise

Ryo Ariizumi, Matthew Tesch, Howie Choset, Fumitoshi Matsuno

Citations: 11 • 2014

Enabling intelligent energy management for robots using publicly available maps

Oliver Bartlett, Corina Gurău, Letizia Marchegiani, Ingmar Posner

Citations: 10 • 2016

Direct conditional probability density estimation with sparse feature selection

M. Shiga, Voot Tangkaratt, Masashi Sugiyama

Citations: 10 • 2015

Heteroscedastic Uncertainty for Robust Generative Latent Dynamics

Citations: 8 • 2020

Rebalance strategies for humanoids walking by foot positioning compensator based on adaptive heteroscedastic SpGPs

Tao Xu, Qijun Chen, Zhiqiang Cai

Citations: 5 • 2011

Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty

Rel Guzman, Rafael S. Oliveira, Fábio Ramos

Citations: 3 • 2022

Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments

John D. Martin, Brendan Englot

Citations: 2 • 2017

Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control

Rel Guzman, Rafael Oliveira, Fábio Ramos

Citations: 2 • 2020