Covariate
Related papers: 13
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Top Cited Papers
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation
Masashi Sugiyama, Motoaki Kawanabe
Citations: 268 • 2012
Robotic versus standard laparoscopic elective colectomy: where are the benefits?
Audrey S. Kulaylat, Katelin A. Mirkin, Frances J. Puleo, Christopher S. Hollenbeak, Evangelos Messaris
Citations: 44 • 2017
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation
Liyiming Ke, Jingqiang Wang, Tapomayukh Bhattacharjee, Byron Boots, Siddhartha S Srinivasa
Citations: 34 • 2021
A Statistical Model to Determine Biomechanical Limits for Physically Safe Interactions With Collaborative Robots
Roland Behrens, G. Pliske, Matthias Umbreit, S. Piatek, Felix Walcher, Norbert Elkmann
Citations: 31 • 2022
Analysis of heterogeneity in a systematic review using meta-regression technique
Kenneth Lo, Matthew Stephenson, Craig Lockwood
Citations: 28 • 2019
Feedback in Imitation Learning: The Three Regimes of Covariate Shift
Jonathan Spencer, Sanjiban Choudhury, Arun Venkatraman, Brian D. Ziebart, J. Andrew Bagnell
Citations: 17 • 2021
A Comparative Study on the Effects of Hands-on Robot and EPL Programming Activities on Creative Problem-Solving Ability in Children
Sang Un Kim
Citations: 7 • 2020
Continuous Target Shift Adaptation in Supervised Learning
Tuan Duong Nguyen, Christoffel Marthinus, Masashi Sugiyama
Citations: 6 • 2015
Short Communication: Comparison of Protocols to Estimate Twenty-Four-Hour Fat and Protein Percentages for Herds with a Robotic Milking System
Karen J. Hand, D. Lazenby, F. Miglior, D.F. Kelton
Citations: 5 • 2006
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
Yuping Luo, Huazhe Xu, Tengyu Ma
Citations: 4 • 2019
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation
Liyiming Ke, Jingqiang Wang, Tapomayukh Bhattacharjee, Byron Boots, Siddhartha S Srinivasa
Citations: 4 • 2020
Efficient Computation of Reduced Regression Models
Stuart R. Lipsitz, Garrett M. Fitzmaurice, Debajyoti Sinha, Nathanael D. Hevelone, Edward L. Giovannucci, Quoc‐Dien Trinh, Jim C. Hu
Citations: 3 • 2017
Hyper-Accelerated Learning for Brain-Computer Interfaces via Partial Target-Aware Optimal Transport
Ekansh Gupta, Cheng-Yeh Chen, Raghupathy Sivakumar
Citations: 2 • 2023