Travelled to:1 × Canada
1 × Finland
1 × USA
Collaborated with:A.Y.Ng M.Wytock A.Coates Y.Gu C.DuHadway
Talks about:learn (2) trajectori (1) algorithm (1) polynomi (1) gaussian (1) forecast (1) bayesian (1) regular (1) program (1) theori (1)
Person: J. Zico Kolter
DBLP: Kolter:J=_Zico
Contributed to:
201320092008Wrote 4 papers:
- ICML-c3-2013-WytockK #algorithm #energy #random #theory and practice
- Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting (MW, JZK), pp. 1265–1273.
- ICML-2009-KolterN #polynomial
- Near-Bayesian exploration in polynomial time (JZK, AYN), pp. 513–520.
- ICML-2009-KolterN09a #difference #feature model #learning
- Regularization and feature selection in least-squares temporal difference learning (JZK, AYN), pp. 521–528.
- ICML-2008-KolterCNGD #learning #programming
- Space-indexed dynamic programming: learning to follow trajectories (JZK, AC, AYN, YG, CD), pp. 488–495.