Bernard Koch

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 6

Top Topics

Machine Learning

Explanation Based Learning

Challenges Facing

Top Venues

NeurIPS Datasets and Benchmarks

Publications

Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR (2023)
Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, Jacob Gates Foster
Deep Learning of Potential Outcomes. CoRR (2021)
Song Jiang, Bernard Koch, Yizhou Sun
HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding. WWW (2021)
Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. CoRR (2021)
Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. NeurIPS Datasets and Benchmarks (2021)
Jennie E. Brand, Jiahui Xu, Bernard Koch, Pablo Geraldo
Uncovering Sociological Effect Heterogeneity using Machine Learning. CoRR (2019)