Deepak Agarwal

	2012
41		Yandong Liu, Sandeep Pandey, Deepak Agarwal, Vanja Josifovski: Finding the right consumer: optimizing for conversion in display advertising campaigns. WSDM 2012: 473-482
40		Deepak Agarwal, Maxim Gurevich: Fast top-k retrieval for model based recommendation. WSDM 2012: 483-492
39		Deepak Agarwal, Sandeep Pandey, Vanja Josifovski: Targeting converters for new campaigns through factor models. WWW 2012: 101-110
38		Rajiv Khanna, Liang Zhang, Deepak Agarwal, Bee-Chung Chen: Parallel Matrix Factorization for Binary Response CoRR abs/1203.5124: (2012)
	2011
37		Deepak Agarwal, Bee-Chung Chen, Bo Pang: Personalized Recommendation of User Comments via Factor Models. EMNLP 2011: 571-582
36		Yucheng Low, Deepak Agarwal, Alexander J. Smola: Multiple domain user personalization. KDD 2011: 123-131
35		Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang: Click shaping to optimize multiple objectives. KDD 2011: 132-140
34		Nagaraj Kota, Deepak Agarwal: Temporal multi-hierarchy smoothing for estimating rates of rare events. KDD 2011: 1361-1369
33		Aditya Krishna Menon, Krishna Prasad Chitrapura, Sachin Garg, Deepak Agarwal, Nagaraj Kota: Response prediction using collaborative filtering with hierarchies and side-information. KDD 2011: 141-149
32		Deepak Agarwal, Bee-Chung Chen, Bo Long: Localized factor models for multi-context recommendation. KDD 2011: 609-617
31		Liang Zhang, Deepak Agarwal, Bee-Chung Chen: Generalizing matrix factorization through flexible regression priors. RecSys 2011: 13-20
30		Deepak Agarwal, Bee-Chung Chen: Latent OLAP: data cubes over latent variables. SIGMOD Conference 2011: 877-888
29		Deepak Agarwal: Discussion of "Learning Scale Free Networks by Reweighted L1 regularization". Journal of Machine Learning Research - Proceedings Track 15: 49-50 (2011)
28		Deepak Agarwal, Lihong Li, Alexander J. Smola: Linear-Time Estimators for Propensity Scores. Journal of Machine Learning Research - Proceedings Track 15: 93-100 (2011)
	2010
27		Deepak Agarwal, Rahul Agrawal, Rajiv Khanna, Nagaraj Kota: Estimating rates of rare events with multiple hierarchies through scalable log-linear models. KDD 2010: 213-222
26		Deepak Agarwal, Bee-Chung Chen, Pradheep Elango: Fast online learning through offline initialization for time-sensitive recommendation. KDD 2010: 703-712
25		Deepak Agarwal, Datong Chen, Long-ji Lin, Jayavel Shanmugasundaram, Erik Vee: Forecasting high-dimensional data. SIGMOD Conference 2010: 1003-1012
24		Deepak Agarwal, Bee-Chung Chen: fLDA: matrix factorization through latent dirichlet allocation. WSDM 2010: 91-100
	2009
23		Deepak Agarwal, Evgeniy Gabrilovich, Robert Hall, Vanja Josifovski, Rajiv Khanna: Translating relevance scores to probabilities for contextual advertising. CIKM 2009: 1899-1902
22		Yashar Moshfeghi, Deepak Agarwal, Benjamin Piwowarski, Joemon M. Jose: Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering. ECIR 2009: 54-65
21		Deepak Agarwal, Bee-Chung Chen, Pradheep Elango: Explore/Exploit Schemes for Web Content Optimization. ICDM 2009: 1-10
20		Deepak Agarwal, Bee-Chung Chen: Regression-based latent factor models. KDD 2009: 19-28
19		Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon: A spatio-temporal approach to collaborative filtering. RecSys 2009: 13-20
18		Deepak Agarwal, Bee-Chung Chen, Pradheep Elango: Spatio-temporal models for estimating click-through rate. WWW 2009: 21-30
	2008
17		Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Nitin Motgi, Seung-Taek Park, Raghu Ramakrishnan, Scott Roy, Joe Zachariah: Online Models for Content Optimization. NIPS 2008: 17-24
16		Liang Zhang, Deepak Agarwal: Fast Computation of Posterior Mode in Multi-Level Hierarchical Models. NIPS 2008: 1913-1920
15		Deepayan Chakrabarti, Deepak Agarwal, Vanja Josifovski: Contextual advertising by combining relevance with click feedback. WWW 2008: 417-426
	2007
14		Dhiman Barman, Flip Korn, Divesh Srivastava, Dimitrios Gunopulos, Neal E. Young, Deepak Agarwal: Parsimonious Explanations of Change in Hierarchical Data. ICDE 2007: 1273-1275
13		Sandeep Pandey, Deepayan Chakrabarti, Deepak Agarwal: Multi-armed bandit problems with dependent arms. ICML 2007: 721-728
12		Neeta Nain, Vijay Laxmi, Manish Khandelwal, Deepak Agarwal, Dushyant Singh Rao, Pawan Kumar Verma: Transformation Invariant Robust Shape Analysis. IPCV 2007: 275-281
11		Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrabarti, Dejan Diklic, Vanja Josifovski, Mayssam Sayyadian: Estimating rates of rare events at multiple resolutions. KDD 2007: 16-25
10		Deepak Agarwal, Srujana Merugu: Predictive discrete latent factor models for large scale dyadic data. KDD 2007: 26-35
9		Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos, Neal E. Young, Flip Korn, Divesh Srivastava: Efficient and effective explanation of change in hierarchical summaries. KDD 2007: 6-15
8		Sandeep Pandey, Deepak Agarwal, Deepayan Chakrabarti, Vanja Josifovski: Bandits for Taxonomies: A Model-based Approach. SDM 2007
7		Deepak Agarwal: Detecting anomalies in cross-classified streams: a Bayesian approach. Knowl. Inf. Syst. 11(1): 29-44 (2007)
	2006
6		Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu: Spatial scan statistics: approximations and performance study. KDD 2006: 24-33
5		Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian: The hunting of the bump: on maximizing statistical discrepancy. SODA 2006: 1137-1146
4		Li Wang, Matthew French, Azadeh Davoodi, Deepak Agarwal: FPGA Dynamic Power Minimization through Placement and Routing Constraints. EURASIP J. Emb. Sys. 2006: (2006)
	2005
3		Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian: The Hunting of the Bump: On Maximizing Statistical Discrepancy CoRR abs/cs/0510004: (2005)
2		Shona Douglas, Deepak Agarwal, Tirso Alonso, Robert M. Bell, Mazin Gilbert, Deborah F. Swayne, Chris Volinsky: Mining Customer Care Dialogs for "Daily News". IEEE Transactions on Speech and Audio Processing 13(5-1): 652-660 (2005)
	2004
1		Shona Douglas, Deepak Agarwal, Tirso Alonso, Robert M. Bell, Mazin G. Rahim, Deborah F. Swayne, Chris Volinsky: Mining customer care dialogs for "daily news". INTERSPEECH 2004

Coauthor Index

1	Rahul Agrawal	[27]
2	Tirso Alonso	[1] [2]
3	Dhiman Barman	[9] [14]
4	Robert M. Bell	[1] [2]
5	Andrei Z. Broder	[11]
6	Deepayan Chakrabarti	[8] [11] [13] [15]
7	Bee-Chung Chen	[17] [18] [20] [21] [24] [26] [30] [31] [32] [35] [37] [38]
8	Datong Chen	[25]
9	Krishna Prasad Chitrapura	[33]
10	Azadeh Davoodi	[4]
11	Inderjit S. Dhillon	[19]
12	Dejan Diklic	[11]
13	Shona Douglas	[1] [2]
14	Pradheep Elango	[17] [18] [21] [26] [35]
15	Matthew French	[4]
16	Evgeniy Gabrilovich	[23]
17	Sachin Garg	[33]
18	Mazin Gilbert	[2]
19	Dimitrios Gunopulos	[9] [14]
20	Maxim Gurevich	[40]
21	Robert Hall	[23]
22	Joemon M. Jose	[22]
23	Vanja Josifovski	[8] [11] [15] [23] [39] [41]
24	Manish Khandelwal	[12]
25	Rajiv Khanna	[23] [27] [38]
26	Flip Korn	[9] [14]
27	Nagaraj Kota	[27] [33] [34]
28	Vijay Laxmi	[12]
29	Lihong Li	[28]
30	Long-ji Lin	[25]
31	Yandong Liu	[41]
32	Bo Long	[32]
33	Yucheng Low	[36]
34	Zhengdong Lu	[19]
35	Andrew McGregor	[6]
36	Aditya Krishna Menon	[33]
37	Srujana Merugu	[10]
38	Yashar Moshfeghi	[22]
39	Nitin Motgi	[17]
40	Neeta Nain	[12]
41	Sandeep Pandey	[8] [13] [39] [41]
42	Bo Pang	[37]
43	Seung-Taek Park	[17]
44	Jeff M. Phillips	[3] [5] [6]
45	Benjamin Piwowarski	[22]
46	Mazin G. Rahim	[1]
47	Raghu Ramakrishnan	[17]
48	Dushyant Singh Rao	[12]
49	Scott Roy	[17]
50	Mayssam Sayyadian	[11]
51	Jayavel Shanmugasundaram	[25]
52	Alexander J. Smola (Alex J. Smola)	[28] [36]
53	Divesh Srivastava	[9] [14]
54	Deborah F. Swayne	[1] [2]
55	Erik Vee	[25]
56	Suresh Venkatasubramanian	[3] [5] [6]
57	Pawan Kumar Verma	[12]
58	Chris Volinsky	[1] [2]
59	Li Wang	[4]
60	Xuanhui Wang	[35]
61	Neal E. Young	[9] [14]
62	Joe Zachariah	[17]
63	Liang Zhang	[16] [31] [38]
64	Zhengyuan Zhu	[6]

Colors in the list of coauthors

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