Travelled to:1 × China
2 × Ireland
2 × USA
Collaborated with:Y.Yu W.Zhang D.Yang E.B.Fox C.Guestrin H.Li Q.Yang J.Wang Q.Lu K.Chen G.Zheng O.Jin E.Yao
Talks about:collabor (3) recommend (2) gradient (2) filter (2) mine (2) hamiltonian (1) stochast (1) implicit (1) function (1) feedback (1)
Person: Tianqi Chen
DBLP: Chen:Tianqi
Contributed to:
20142013
2013
20122012Wrote 6 papers:
- ICML-c2-2014-ChenFG #monte carlo #probability
- Stochastic Gradient Hamiltonian Monte Carlo (TC, EBF, CG), pp. 1683–1691.
- ICML-c1-2013-ChenLYY #functional #matrix #using
- General Functional Matrix Factorization Using Gradient Boosting (TC, HL, QY, YY), pp. 436–444.
- SIGIR-2013-ZhangCWY #collaboration #optimisation
- Optimizing top-n collaborative filtering via dynamic negative item sampling (WZ, TC, JW, YY), pp. 785–788.
- RecSys-2012-YangCZLY #feedback #mining #music #recommendation
- Local implicit feedback mining for music recommendation (DY, TC, WZ, QL, YY), pp. 91–98.
- SIGIR-2012-ChenCZJYY #collaboration #personalisation #recommendation #twitter
- Collaborative personalized tweet recommendation (KC, TC, GZ, OJ, EY, YY), pp. 661–670.
- SIGIR-2012-YangCZY #collaboration #mining
- Collaborative filtering with short term preferences mining (DY, TC, WZ, YY), pp. 1043–1044.