Travelled to:1 × Canada
1 × Germany
2 × USA
3 × France
Collaborated with:J.Langford B.Zadrozny I.Rish S.Kale H.Luo S.Dasgupta M.Balcan S.Kakade C.Perng S.Ma V.Dani T.P.Hayes
Talks about:learn (5) reduct (2) activ (2) tree (2) criterion (1) algorithm (1) neighbor (1) bayesian (1) summari (1) partial (1)
Person: Alina Beygelzimer
DBLP: Beygelzimer:Alina
Contributed to:
20152009
200920062005
20022001Wrote 9 papers:
- ICML-2015-BeygelzimerKL #adaptation #algorithm #online
- Optimal and Adaptive Algorithms for Online Boosting (AB, SK, HL), pp. 2323–2331.
- ICML-2009-BeygelzimerDL #learning
- Importance weighted active learning (AB, SD, JL), pp. 49–56.
- ICML-2009-BeygelzimerLZ #machine learning #reduction #summary #tutorial
- Tutorial summary: Reductions in machine learning (AB, JL, BZ), p. 12.
- KDD-2009-BeygelzimerL #learning
- The offset tree for learning with partial labels (AB, JL), pp. 129–138.
- ICML-2006-BalcanBL #learning
- Agnostic active learning (MFB, AB, JL), pp. 65–72.
- ICML-2006-BeygelzimerKL #nearest neighbour
- Cover trees for nearest neighbor (AB, SK, JL), pp. 97–104.
- ICML-2005-BeygelzimerDHLZ #classification #fault #reduction
- Error limiting reductions between classification tasks (AB, VD, TPH, JL, BZ), pp. 49–56.
- KR-2002-BeygelzimerR #complexity #learning #network
- Inference Complexity as a Model-Selection Criterion for Learning Bayesian Networks (AB, IR), pp. 558–567.
- KDD-2001-BeygelzimerPM #category theory #dataset #performance #scalability #visualisation
- Fast ordering of large categorical datasets for better visualization (AB, CSP, SM), pp. 239–244.