Travelled to:1 × Canada
1 × China
4 × USA
Collaborated with:D.Nanongkai A.Lall S.Gollapudi J.(.Xu A.Machanavajjhala A.Korolova S.Ieong R.Panigrahy J.Tang H.Gao H.Liu K.Makino X.Zhao A.Chang H.Zheng B.Y.Zhao R.J.Lipton A.Bhardwaj W.Di R.Hamid R.Piramuthu N.Sundaresan S.Holzer L.Kor A.Korman G.Pandurangan D.Peleg R.Wattenhofer
Talks about:distribut (2) stream (2) regret (2) random (2) minim (2) understand (1) recommend (1) algorithm (1) interact (1) approxim (1)
Person: Atish Das Sarma
DBLP: Sarma:Atish_Das
Contributed to:
2013
20132012
2012
20112011201020092008
2008Wrote 10 papers:
- KDD-2013-BhardwajSDHPS #visual notation
- Palette power: enabling visual search through colors (AB, ADS, WD, RH, RP, NS), pp. 1321–1329.
- VLDB-2013-ZhaoCSZZ #on the #random
- On the Embeddability of Random Walk Distances (XZ, AC, ADS, HZ, BYZ), pp. 1690–1701.
- KDD-2012-TangLGS #comprehension #evolution #named #online #trust
- eTrust: understanding trust evolution in an online world (JT, HG, HL, ADS), pp. 253–261.
- SIGMOD-2012-NanongkaiLSM #interactive
- Interactive regret minimization (DN, AL, ADS, KM), pp. 109–120.
- STOC-2011-SarmaHKKNPPW #approximate #distributed #verification
- Distributed verification and hardness of distributed approximation (ADS, SH, LK, AK, DN, GP, DP, RW), pp. 363–372.
- VLDB-2011-MachanavajjhalaKS #personalisation #question #recommendation #social
- Personalized Social Recommendations — Accurate or Private? (AM, AK, ADS), pp. 440–450.
- VLDB-2010-NanongkaiSLLX #database
- Regret-Minimizing Representative Databases (DN, ADS, AL, RJL, J(X), pp. 1114–1124.
- VLDB-2009-SarmaLNX #algorithm #multi #random #streaming
- Randomized Multi-pass Streaming Skyline Algorithms (ADS, AL, DN, J(X), pp. 85–96.
- KDD-2008-SarmaGI #query #using
- Bypass rates: reducing query abandonment using negative inferences (ADS, SG, SI), pp. 177–185.
- PODS-2008-SarmaGP #graph #rank
- Estimating PageRank on graph streams (ADS, SG, RP), pp. 69–78.