- can
scale to
multiple GPUs and machines. It was co-developed by
Carlos Guestrin at the
University of Washington,
along with GraphLab. As of
September 2023...
-
implementation of
XGBoost has been
published by
Tianqi Chen and
Carlos Guestrin.
While the
XGBoost model often achieves higher accuracy than a
single decision...
-
framework written in C++. The
GraphLab project was
started by Prof.
Carlos Guestrin of
Carnegie Mellon University in 2009. It is an open
source project that...
- Taori, Rohan; Gulrajani, Ishaan; Zhang, Tianyi; Dubois, Yann; Li, Xuechen;
Guestrin, Carlos; Liang, Percy; Hashimoto,
Tatsunori B. (13
March 2023). "Alpaca:...
-
ranking game" (PDF). CEUR
Workshop Proceedings. 1968: 52–61. Fire, Michael;
Guestrin,
Carlos (1 June 2019). "Over-optimization of
academic publishing metrics:...
- NIPS-2014. A.
Krause and C.
Guestrin, Near-optimal
nonmyopic value of
information in
graphical models, UAI-2005. A.
Krause and C.
Guestrin,
Beyond Convexity: Submodularity...
-
Springer Nature. ISBN 978-3-030-28954-6. Ribeiro,
Marco Tulio; Singh, Sameer;
Guestrin,
Carlos (2016-08-13). ""Why
Should I
Trust You?"".
Proceedings of the 22nd...
- arXiv:2306.05724.
Retrieved 2023-12-19. Ribeiro,
Marco Tulio; Singh, Sameer;
Guestrin,
Carlos (2016-08-13). ""Why
Should I
Trust You?"".
Proceedings of the 22nd...
- 2019, at the
Wayback Machine, by Jure Leskovec,
Andreas Krause,
Carlos Guestrin,
Christos Faloutsos,
Jeanne VanBriesen and
Natalie Glance,
Carnegie Mellon...
- 12025. doi:10.3390/app122312025. Ribeiro,
Marco Tulio; Singh, Sameer;
Guestrin,
Carlos (2016-08-09), "Why
Should I
Trust You?":
Explaining the Predictions...
