Deepak Agarwal

Publication Activity (10 Years)

Years Active: 2004-2022
Publications (10 Years): 21

Top Topics

Online Advertising

Permutation Tests

Top Venues

Publications

Vishal Gupta, Maninder Singh, Rajeev Gupta, Basant Kumar, Deepak Agarwal
Development of an Automated Algorithm to Quantify Optic Nerve Diameter Using Ultrasound Measures: Implications for Optic Neuropathies. CVMI (2022)
Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu, Krishnaram Kenthapadi, Deepak Agarwal
Evaluating Fairness Using Permutation Tests. KDD (2020)
Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal
DeText: A Deep Text Ranking Framework with BERT. CIKM (2020)
Deepak Agarwal, Ryan Baker, Anupama Muraleedharan
Dynamic knowledge tracing through data driven recency weights. EDM (2020)
Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal
DeText: A Deep Text Ranking Framework with BERT. CoRR (2020)
Preetam Nandy, Amir Sepehri, Kinjal Basu, Heloise Logan, Deepak Agarwal, Noureddine El Karoui
Scalable Assessment and Mitigation Strategies for Fairness in Rankings. CoRR (2020)
Haripriya Valayaputtur, Deepak Agarwal, Anupama Muraleedharan
Continuous Monitoring and Development of an Intelligent Tutoring System through Data Mining. T4E (2019)
Weiwei Guo, Huiji Gao, Jun Shi, Bo Long, Liang Zhang, Bee-Chung Chen, Deepak Agarwal
Deep Natural Language Processing for Search and Recommender Systems. KDD (2019)
Deepak Agarwal, Nishant Babel, Ryan S. Baker
Contextual Derivation of Stable BKT Parameters for Analysing Content Efficacy. EDM (2018)
Deepak Agarwal, Kinjal Basu, Souvik Ghosh, Ying Xuan, Yang Yang, Liang Zhang
Online Parameter Selection for Web-based Ranking Problems. KDD (2018)
Krishnaram Kenthapadi, Stuart Ambler, Liang Zhang, Deepak Agarwal
Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary. CoRR (2017)
Tingting Cui, Lijun Peng, David Pardoe, Kun Liu, Deepak Agarwal, Deepak Kumar
Data-Driven Reserve Prices for Social Advertising Auctions at LinkedIn. ADKDD@KDD (2017)
Guangde Chen, Bee-Chung Chen, Deepak Agarwal
Social Incentive Optimization in Online Social Networks. WSDM (2017)
Muthu Muthukrishnan, Andrew Tomkins, Larry P. Heck, Alborz Geramifard, Deepak Agarwal
The Future of Artificially Intelligent Assistants. KDD (2017)
Krishnaram Kenthapadi, Stuart Ambler, Liang Zhang, Deepak Agarwal
Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary. CIKM (2017)
Liang Tang, Bo Long, Bee-Chung Chen, Deepak Agarwal
An Empirical Study on Recommendation with Multiple Types of Feedback. KDD (2016)
XianXing Zhang, Yitong Zhou, Yiming Ma, Bee-Chung Chen, Liang Zhang, Deepak Agarwal
GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction. KDD (2016)
Navneet Kapur, Nikita I. Lytkin, Bee-Chung Chen, Deepak Agarwal, Igor Perisic
Ranking Universities Based on Career Outcomes of Graduates. KDD (2016)
Yang Yang, Liang Zhang, Ritesh Maheshwari, Zaid Ali Kahn, Deepak Agarwal, Sanjay Dubey
Scout: A Point of Presence Recommendation System Using Real User Monitoring Data. PAM (2016)
Deepak Agarwal
Recommendations in the context of a Social Network. COMAD (2016)
Xavier Amatriain, Deepak Agarwal
Tutorial: Lessons Learned from Building Real-life Recommender Systems. RecSys (2016)
Anurag Gupta, Deepak Agarwal, Derek Tan, Jakub Kulesza, Rahul Pathak, Stefano Stefani, Vidhya Srinivasan
Amazon Redshift and the Case for Simpler Data Warehouses. SIGMOD Conference (2015)
Deepak Agarwal
Scaling Machine Learning and Statistics for Web Applications. KDD (2015)
Deepak Agarwal, Bee-Chung Chen, Qi He, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, Hsiao-Ping Tseng, Jaewon Yang, Liang Zhang
Personalizing LinkedIn Feed. KDD (2015)
Deepak Agarwal, Shaunak Chatterjee, Yang Yang, Liang Zhang
Constrained Optimization for Homepage Relevance. WWW (Companion Volume) (2015)
Dou Shen, Deepak Agarwal
Introduction to the Special Issue on Online Advertising. ACM Trans. Intell. Syst. Technol. 5 (4) (2014)
Deepak Agarwal, Souvik Ghosh, Kai Wei, Siyu You
Budget pacing for targeted online advertisements at LinkedIn. KDD (2014)
Deepak Agarwal, Bee-Chung Chen, Rupesh Gupta, Joshua Hartman, Qi He, Anand Iyer, Sumanth Kolar, Yiming Ma, Pannagadatta Shivaswamy, Ajit Singh, Liang Zhang
Activity ranking in LinkedIn feed. KDD (2014)
Deepak Agarwal, Bo Long, Jonathan Traupman, Doris Xin, Liang Zhang
LASER: a scalable response prediction platform for online advertising. WSDM (2014)
Deepak Agarwal, Rich Caruana, Jian Pei, Ke Wang
Introduction to the Special Issue ACM SIGKDD 2012. ACM Trans. Knowl. Discov. Data 7 (3) (2013)
Rajiv Khanna, Liang Zhang, Deepak Agarwal, Bee-Chung Chen
Parallel matrix factorization for binary response. IEEE BigData (2013)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Raghu Ramakrishnan
Content recommendation on web portals. Commun. ACM 56 (6) (2013)
Liang Tang, Rómer Rosales, Ajit Singh, Deepak Agarwal
Automatic ad format selection via contextual bandits. CIKM (2013)
Deepak Agarwal
Recommending items to users: an explore/exploit perspective. UEO@CIKM (2013)
Cho-Jui Hsieh, Mitul Tiwari, Deepak Agarwal, Xinyi (Lisa) Huang, Sam Shah
Organizational overlap on social networks and its applications. WWW (2013)
Deepak Agarwal
Computational advertising: the linkedin way. CIKM (2013)
Jaewon Yang, Bee-Chung Chen, Deepak Agarwal
Estimating sharer reputation via social data calibration. KDD (2013)
Rajiv Khanna, Liang Zhang, Deepak Agarwal, Bee-Chung Chen
Parallel Matrix Factorization for Binary Response CoRR (2012)
Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang
Multi-faceted ranking of news articles using post-read actions. CIKM (2012)
Deepak Agarwal, Maxim Gurevich
Fast top-k retrieval for model based recommendation. WSDM (2012)
Deepak Agarwal, Sandeep Pandey, Vanja Josifovski
Targeting converters for new campaigns through factor models. WWW (2012)
Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang
Multi-Faceted Ranking of News Articles using Post-Read Actions CoRR (2012)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang
Personalized click shaping through lagrangian duality for online recommendation. SIGIR (2012)
Yandong Liu, Sandeep Pandey, Deepak Agarwal, Vanja Josifovski
Finding the right consumer: optimizing for conversion in display advertising campaigns. WSDM (2012)
Yucheng Low, Deepak Agarwal, Alexander J. Smola
Multiple domain user personalization. KDD (2011)
Liang Zhang, Deepak Agarwal, Bee-Chung Chen
Generalizing matrix factorization through flexible regression priors. RecSys (2011)
Aditya Krishna Menon, Krishna Prasad Chitrapura, Sachin Garg, Deepak Agarwal, Nagaraj Kota
Response prediction using collaborative filtering with hierarchies and side-information. KDD (2011)
Deepak Agarwal, Bee-Chung Chen, Bo Long
Localized factor models for multi-context recommendation. KDD (2011)
Deepak Agarwal, Bee-Chung Chen
Latent OLAP: data cubes over latent variables. SIGMOD Conference (2011)
Deepak Agarwal
Discussion of "Learning Scale Free Networks by Reweighted L1 regularization". AISTATS (2011)
Deepak Agarwal, Lihong Li, Alexander J. Smola
Linear-Time Estimators for Propensity Scores. AISTATS (2011)
Deepak Agarwal, Bee-Chung Chen, Bo Pang
Personalized Recommendation of User Comments via Factor Models. EMNLP (2011)
Nagaraj Kota, Deepak Agarwal
Temporal multi-hierarchy smoothing for estimating rates of rare events. KDD (2011)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang
Click shaping to optimize multiple objectives. KDD (2011)
Deepak Agarwal, Bee-Chung Chen
fLDA: matrix factorization through latent dirichlet allocation. WSDM (2010)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
Fast online learning through offline initialization for time-sensitive recommendation. KDD (2010)
Deepak Agarwal, Rahul Agrawal, Rajiv Khanna, Nagaraj Kota
Estimating rates of rare events with multiple hierarchies through scalable log-linear models. KDD (2010)
Deepak Agarwal, Datong Chen, Long-ji Lin, Jayavel Shanmugasundaram, Erik Vee
Forecasting high-dimensional data. SIGMOD Conference (2010)
Yashar Moshfeghi, Deepak Agarwal, Benjamin Piwowarski, Joemon M. Jose
Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering. ECIR (2009)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
Spatio-temporal models for estimating click-through rate. WWW (2009)
Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon
A spatio-temporal approach to collaborative filtering. RecSys (2009)
Deepak Agarwal, Bee-Chung Chen
Regression-based latent factor models. KDD (2009)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
Explore/Exploit Schemes for Web Content Optimization. ICDM (2009)
Deepak Agarwal, Evgeniy Gabrilovich, Robert J. Hall, Vanja Josifovski, Rajiv Khanna
Translating relevance scores to probabilities for contextual advertising. CIKM (2009)
Liang Zhang, Deepak Agarwal
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models. NIPS (2008)
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)
Deepayan Chakrabarti, Deepak Agarwal, Vanja Josifovski
Contextual advertising by combining relevance with click feedback. WWW (2008)
Neeta Nain, Vijay Laxmi, Manish Khandelwal, Deepak Agarwal, Dushyant Singh Rao, Pawan Kumar Verma
Transformation Invariant Robust Shape Analysis. IPCV (2007)
Deepak Agarwal
Detecting anomalies in cross-classified streams: a Bayesian approach. Knowl. Inf. Syst. 11 (1) (2007)
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos, Neal E. Young, Flip Korn, Divesh Srivastava
Efficient and effective explanation of change in hierarchical summaries. KDD (2007)
Deepak Agarwal, Srujana Merugu
Predictive discrete latent factor models for large scale dyadic data. KDD (2007)
Dhiman Barman, Flip Korn, Divesh Srivastava, Dimitrios Gunopulos, Neal E. Young, Deepak Agarwal
Parsimonious Explanations of Change in Hierarchical Data. ICDE (2007)
Sandeep Pandey, Deepak Agarwal, Deepayan Chakrabarti, Vanja Josifovski
Bandits for Taxonomies: A Model-based Approach. SDM (2007)
Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrabarti, Dejan Diklic, Vanja Josifovski, Mayssam Sayyadian
Estimating rates of rare events at multiple resolutions. KDD (2007)
Sandeep Pandey, Deepayan Chakrabarti, Deepak Agarwal
Multi-armed bandit problems with dependent arms. ICML (2007)
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu
Spatial scan statistics: approximations and performance study. KDD (2006)
Li Wang, Matthew French, Azadeh Davoodi, Deepak Agarwal
FPGA Dynamic Power Minimization through Placement and Routing Constraints. EURASIP J. Embed. Syst. 2006 (2006)
Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian
The hunting of the bump: on maximizing statistical discrepancy. SODA (2006)
Shawndra Hill, Deepak Agarwal, Robert M. Bell, Chris Volinsky
Tuning representations of dynamic network data. LinkKDD (2005)
Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian
The Hunting of the Bump: On Maximizing Statistical Discrepancy CoRR (2005)
Shona Douglas, Deepak Agarwal, Tirso Alonso, Robert M. Bell, Mazin Gilbert, Deborah F. Swayne, Chris Volinsky
Mining Customer Care Dialogs for "Daily News". IEEE Trans. Speech Audio Process. 13 (5-1) (2005)
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)