John Langford at Microsoft Research
www.microsoft.com
Alina Beygelzimer, John Langford, Yuri Lifshits, Gregory Sorkin, Alex Strehl. Twenty-Fifth Conference on Uncertainty in Artificial Intelligence | August ... › people › jcl › publications
DBLife: Yuri Lifshits
dblife.cs.wisc.edu
Alina Beygelzimer, John Langford, Yury Lifshits, Gregory B. Sorkin, Alexander L. Strehl. CoRR (abs ) (2009). Web Search BibTeX Download:
NYC workshop 22 Aug on open source machine learning ...
statmodeling.stat.columbia.edu
Jul 26, — The workshop is organized by John Langford (Microsoft Research NYC), along with Alekh Agarwal and Alina Beygelzimer, and it features ... › › n...
Cover Tree
hunch.net
Cover Tree for Nearest Neighbor calculations Alina Beygelzimer, Sham Kakade, and John Langford, Cover Trees for Nearest Neighbor, ICML Video
Performance Modeling and Engineering - Page 3 - Google Books Result
books.google.com
Alina Beygelzimer, John Langford, and Bianca Zadrozny Abstract Machine learning involves optimizing a loss function on unlabeled data points given examples ...
[ ] Importance Weighted Active Learning - arXiv
arxiv.org
Authors:Alina Beygelzimer, Sanjoy Dasgupta, John Langford · Download PDF. Abstract: We present a practical and statistically consistent scheme for actively ... › cs
FNN: Fast Nearest Neighbor Search Algorithms and R/CRAN
cran.r-project.org
by A Beygelzimer · Cited by 24 — Author Alina Beygelzimer, Sham Kakadet and John Langford (cover tree library),. Sunil Arya and David Mount (ANN library for the kd-tree approach), ... › web › packages › FNN
Importance Weighted Active Learning - UCSD CSE
cseweb.ucsd.edu
by A Beygelzimer · Cited by 390 — Alina Beygelzimer .com. IBM Research. Sanjoy Dasgupta .edu. University of California, San Diego. John Langford . › papers › iwal-icml
Search Improves Label for Active Learning - NIPS papers
proceedings.neurips.cc
by A Beygelzimer · · Cited by 29 — Authors. Alina Beygelzimer, Daniel J. Hsu, John Langford, Chicheng Zhang. Abstract. We investigate active learning with access to two distinct oracles: ... › paper › hash
Machine Learning Reductions Tutorial à lire en Document, University,...
www.youscribe.com
Machine Learning Reductions Tutorial : Machine Learning ReductionsTutorialAlina Beygelzimer (IBM Research)John Langford (Yahoo! Research)Bianca ...
Google Groups: [ibisml:11] icml call for participation
: ... filters (jose principe & weifeng liu) * learning through exploration (alina beygelzimer and john langford) * metric learning (brian kulis) * privacy-preserving data ...
Google Groups: [ibisml:17] call for participation: sigkdd conference on knowledge ...
: ... fabian moerchen (siemens corporate research) * a tutorial on learning through exploration; alina beygelzimer (ibm research), john langford (yahoo! research) ...
Wikipedia: Cover tree - Wikipedia
Alina Beygelzimer, Sham Kakade, and John Langford. Cover Trees for Nearest Neighbor. In Proc. International Conference on Machine Learning (ICML),
All web results to the name "Alina Beygelzimer"
Agnostic Active Learning Without Constraints - NIPS papers
papers.nips.cc
by A Beygelzimer · · Cited by 192 — Authors. Alina Beygelzimer, Daniel J. Hsu, John Langford, Tong Zhang. Abstract. We present and analyze an agnostic active learning algorithm that works ... › paper › agnostic-active-lea...
Weighted One-Against-All
www.aaai.org
by A Beygelzimer · Cited by 52 — Alina Beygelzimer, John Langford, Bianca Zadrozny. The one-against-all reduction from multiclass classification to binary classification is ... › Library › AAAI › aaai
Alina Beygelzimer | Yahoo Labs
labs.yahoo.com
Scalable Nonlinear Learning with Adaptive Polynomial Expansions by Alekh Agarwal, Alina Beygelzimer, Daniel Hsu, John Langford, Matus Telgarsky , Neural ...
Learning through Explorat by John Langford Alina Beygelzimer...
www.quizover.com
Video Lecture: This tutorial is about learning through exploration. The goal is to learn how to make decisions in partial feedback by John Langford Alina...
CRAN - Package FNN
cran.r-project.org
Author: Alina Beygelzimer, Sham Kakadet and John Langford (cover tree library), Sunil Arya and David Mount (ANN library for the kd-tree ...
Research
www.cs.cmu.edu
With Nikhil Bansal, Alina Beygelzimer, Don Coppersmith, John Langford, and Greg Sorkin. COLT An extended version appears in Machine Learning ...
CoverTree
weka.sourceforge.io
For more information and original source code see: Alina Beygelzimer, Sham Kakade, John Langford: Cover trees for nearest neighbor. In: ICML'06:
Papers by Tom Hayes
www.cs.unm.edu
Alina Beygelzimer, Varsha Dani, Tom Hayes, John Langford and Bianca Zadrozny. In: Proc. 22nd International Conference on Machine Learning (ICML 2005), ACM
CSE 291: Winter 2011: Topics in Online Learning and Bandit Problems
cseweb.ucsd.edu
A nice tutorial on Exploration and Learning by Alina Beygelzimer and John Langford . Here is a list of papers on online learning. Presentation Resources
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