Mining customer care dialogs for "daily news". - Shona Douglas; Deepak Agarwal; Tirso Alonso; Robert M. Bell; Mazin G. Rahim; Deborah F. Swayne; Chris Volinsky (INTERSPEECH, 2004)

Tuning representations of dynamic network data. - Shawndra Hill; Deepak Agarwal; Robert M. Bell; Chris Volinsky (LinkKDD, 2005)

Mining Customer Care Dialogs for "Daily News". - Shona Douglas; Deepak Agarwal; Tirso Alonso; Robert M. Bell; Mazin Gilbert; Deborah F. Swayne; Chris Volinsky (IEEE Trans. Speech Audio Process., 2005)

Spatial scan statistics: approximations and performance study. - Deepak Agarwal; Andrew McGregor 001; Jeff M. Phillips; Suresh Venkatasubramanian; Zhengyuan Zhu (KDD, 2006)

The hunting of the bump: on maximizing statistical discrepancy. - Deepak Agarwal; Jeff M. Phillips; Suresh Venkatasubramanian (SODA, 2006)

FPGA Dynamic Power Minimization through Placement and Routing Constraints. - Li Wang 012; Matthew French; Azadeh Davoodi; Deepak Agarwal (EURASIP J. Embed. Syst., 2006)

Parsimonious Explanations of Change in Hierarchical Data. - Dhiman Barman; Flip Korn; Divesh Srivastava; Dimitrios Gunopulos; Neal E. Young; Deepak Agarwal (ICDE, 2007)

Multi-armed bandit problems with dependent arms. - Sandeep Pandey; Deepayan Chakrabarti; Deepak Agarwal (ICML, 2007)

Transformation Invariant Robust Shape Analysis. - Neeta Nain; Vijay Laxmi; Manish Khandelwal; Deepak Agarwal; Dushyant Singh Rao; Pawan Kumar Verma (IPCV, 2007)

Estimating rates of rare events at multiple resolutions. - Deepak Agarwal; Andrei Z. Broder; Deepayan Chakrabarti; Dejan Diklic; Vanja Josifovski; Mayssam Sayyadian (KDD, 2007)

Efficient and effective explanation of change in hierarchical summaries. - Deepak Agarwal; Dhiman Barman; Dimitrios Gunopulos; Neal E. Young; Flip Korn; Divesh Srivastava (KDD, 2007)

Predictive discrete latent factor models for large scale dyadic data. - Deepak Agarwal; Srujana Merugu (KDD, 2007)

Bandits for Taxonomies: A Model-based Approach. - Sandeep Pandey; Deepak Agarwal; Deepayan Chakrabarti; Vanja Josifovski (SDM, 2007)

Detecting anomalies in cross-classified streams: a Bayesian approach. - Deepak Agarwal (Knowl. Inf. Syst., 2007)

Online Models for Content Optimization. - Deepak Agarwal; Bee-Chung Chen; Pradheep Elango; Nitin Motgi; Seung-Taek Park; Raghu Ramakrishnan 001; Scott Roy; Joe Zachariah (NIPS, 2008)

Fast Computation of Posterior Mode in Multi-Level Hierarchical Models. - Liang Zhang 021; Deepak Agarwal (NIPS, 2008)

Contextual advertising by combining relevance with click feedback. - Deepayan Chakrabarti; Deepak Agarwal; Vanja Josifovski (WWW, 2008)

Translating relevance scores to probabilities for contextual advertising. - Deepak Agarwal; Evgeniy Gabrilovich; Robert J. Hall 002; Vanja Josifovski; Rajiv Khanna (CIKM, 2009)

Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering. - Yashar Moshfeghi; Deepak Agarwal; Benjamin Piwowarski; Joemon M. Jose (ECIR, 2009)

Explore/Exploit Schemes for Web Content Optimization. - Deepak Agarwal; Bee-Chung Chen; Pradheep Elango (ICDM, 2009)

Regression-based latent factor models. - Deepak Agarwal; Bee-Chung Chen (KDD, 2009)

A spatio-temporal approach to collaborative filtering. - Zhengdong Lu; Deepak Agarwal; Inderjit S. Dhillon (RecSys, 2009)

Spatio-temporal models for estimating click-through rate. - Deepak Agarwal; Bee-Chung Chen; Pradheep Elango (WWW, 2009)

Estimating rates of rare events with multiple hierarchies through scalable log-linear models. - Deepak Agarwal; Rahul Agrawal; Rajiv Khanna; Nagaraj Kota (KDD, 2010)

Fast online learning through offline initialization for time-sensitive recommendation. - Deepak Agarwal; Bee-Chung Chen; Pradheep Elango (KDD, 2010)

Forecasting high-dimensional data. - Deepak Agarwal; Datong Chen; Long-ji Lin; Jayavel Shanmugasundaram; Erik Vee (SIGMOD Conference, 2010)

fLDA: matrix factorization through latent dirichlet allocation. - Deepak Agarwal; Bee-Chung Chen (WSDM, 2010)

Personalized Recommendation of User Comments via Factor Models. - Deepak Agarwal; Bee-Chung Chen; Bo Pang 001 (EMNLP, 2011)

Click shaping to optimize multiple objectives. - Deepak Agarwal; Bee-Chung Chen; Pradheep Elango; Xuanhui Wang (KDD, 2011)

Localized factor models for multi-context recommendation. - Deepak Agarwal; Bee-Chung Chen; Bo Long (KDD, 2011)

Temporal multi-hierarchy smoothing for estimating rates of rare events. - Nagaraj Kota; Deepak Agarwal (KDD, 2011)

Multiple domain user personalization. - Yucheng Low; Deepak Agarwal; Alexander J. Smola (KDD, 2011)

Response prediction using collaborative filtering with hierarchies and side-information. - Aditya Krishna Menon; Krishna Prasad Chitrapura; Sachin Garg; Deepak Agarwal; Nagaraj Kota (KDD, 2011)

Generalizing matrix factorization through flexible regression priors. - Liang Zhang 021; Deepak Agarwal; Bee-Chung Chen (RecSys, 2011)

Latent OLAP: data cubes over latent variables. - Deepak Agarwal; Bee-Chung Chen (SIGMOD Conference, 2011)

Discussion of "Learning Scale Free Networks by Reweighted L1 regularization". - Deepak Agarwal (AISTATS, 2011)

Linear-Time Estimators for Propensity Scores. - Deepak Agarwal; Lihong Li 001; Alexander J. Smola (AISTATS, 2011)

Multi-faceted ranking of news articles using post-read actions. - Deepak Agarwal; Bee-Chung Chen; Xuanhui Wang (CIKM, 2012)

Personalized click shaping through lagrangian duality for online recommendation. - Deepak Agarwal; Bee-Chung Chen; Pradheep Elango; Xuanhui Wang (SIGIR, 2012)

Fast top-k retrieval for model based recommendation. - Deepak Agarwal; Maxim Gurevich (WSDM, 2012)

Finding the right consumer: optimizing for conversion in display advertising campaigns. - Yandong Liu; Sandeep Pandey; Deepak Agarwal; Vanja Josifovski (WSDM, 2012)

Targeting converters for new campaigns through factor models. - Deepak Agarwal; Sandeep Pandey; Vanja Josifovski (WWW, 2012)

Parallel matrix factorization for binary response. - Rajiv Khanna; Liang Zhang 021; Deepak Agarwal; Bee-Chung Chen (IEEE BigData, 2013)

Computational advertising: the linkedin way. - Deepak Agarwal (CIKM, 2013)

Recommending items to users: an explore/exploit perspective. - Deepak Agarwal (UEO@CIKM, 2013)

Automatic ad format selection via contextual bandits. - Liang Tang; Rómer Rosales; Ajit Singh; Deepak Agarwal (CIKM, 2013)

Estimating sharer reputation via social data calibration. - Jaewon Yang; Bee-Chung Chen; Deepak Agarwal (KDD, 2013)

Organizational overlap on social networks and its applications. - Cho-Jui Hsieh; Mitul Tiwari; Deepak Agarwal; Xinyi (Lisa) Huang; Sam Shah (WWW, 2013)

Content recommendation on web portals. - Deepak Agarwal; Bee-Chung Chen; Pradheep Elango; Raghu Ramakrishnan 001 (Commun. ACM, 2013)

Introduction to the Special Issue ACM SIGKDD 2012. - Deepak Agarwal; Rich Caruana; Jian Pei 001; Ke Wang 001 (ACM Trans. Knowl. Discov. Data, 2013)

Activity ranking in LinkedIn feed. - Deepak Agarwal; Bee-Chung Chen; Rupesh Gupta; Joshua Hartman; Qi He 002; Anand Iyer; Sumanth Kolar; Yiming Ma; Pannagadatta Shivaswamy; Ajit Singh; Liang Zhang 021 (KDD, 2014)

Budget pacing for targeted online advertisements at LinkedIn. - Deepak Agarwal; Souvik Ghosh; Kai Wei; Siyu You (KDD, 2014)

LASER: a scalable response prediction platform for online advertising. - Deepak Agarwal; Bo Long; Jonathan Traupman; Doris Xin; Liang Zhang 021 (WSDM, 2014)

Introduction to the Special Issue on Online Advertising. - Dou Shen; Deepak Agarwal (ACM Trans. Intell. Syst. Technol., 2014)

Scaling Machine Learning and Statistics for Web Applications. - Deepak Agarwal (KDD, 2015)

Personalizing LinkedIn Feed. - Deepak Agarwal; Bee-Chung Chen; Qi He 002; Zhenhao Hua; Guy Lebanon; Yiming Ma; Pannagadatta Shivaswamy; Hsiao-Ping Tseng; Jaewon Yang; Liang Zhang 021 (KDD, 2015)

Amazon Redshift and the Case for Simpler Data Warehouses. - Anurag Gupta; Deepak Agarwal; Derek Tan; Jakub Kulesza; Rahul Pathak; Stefano Stefani; Vidhya Srinivasan (SIGMOD Conference, 2015)

Constrained Optimization for Homepage Relevance. - Deepak Agarwal; Shaunak Chatterjee; Yang Yang 095; Liang Zhang 021 (WWW (Companion Volume), 2015)

Recommendations in the context of a Social Network. - Deepak Agarwal (COMAD, 2016)

Ranking Universities Based on Career Outcomes of Graduates. - Navneet Kapur; Nikita I. Lytkin; Bee-Chung Chen; Deepak Agarwal; Igor Perisic (KDD, 2016)

An Empirical Study on Recommendation with Multiple Types of Feedback. - Liang Tang; Bo Long; Bee-Chung Chen; Deepak Agarwal (KDD, 2016)

GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction. - XianXing Zhang; Yitong Zhou; Yiming Ma; Bee-Chung Chen; Liang Zhang 021; Deepak Agarwal (KDD, 2016)

Scout: A Point of Presence Recommendation System Using Real User Monitoring Data. - Yang Yang 095; Liang Zhang 021; Ritesh Maheshwari; Zaid Ali Kahn; Deepak Agarwal; Sanjay Dubey (PAM, 2016)

Tutorial: Lessons Learned from Building Real-life Recommender Systems. - Xavier Amatriain; Deepak Agarwal (RecSys, 2016)

Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary. - Krishnaram Kenthapadi; Stuart Ambler; Liang Zhang 021; Deepak Agarwal (CIKM, 2017)

Data-Driven Reserve Prices for Social Advertising Auctions at LinkedIn. - Tingting Cui; Lijun Peng; David Pardoe; Kun Liu; Deepak Agarwal; Deepak Kumar (ADKDD@KDD, 2017)

The Future of Artificially Intelligent Assistants. - Muthu Muthukrishnan; Andrew Tomkins; Larry P. Heck; Alborz Geramifard; Deepak Agarwal (KDD, 2017)

Social Incentive Optimization in Online Social Networks. - Guangde Chen; Bee-Chung Chen; Deepak Agarwal (WSDM, 2017)

Contextual Derivation of Stable BKT Parameters for Analysing Content Efficacy. - Deepak Agarwal; Nishant Babel; Ryan S. Baker 001 (EDM, 2018)

Online Parameter Selection for Web-based Ranking Problems. - Deepak Agarwal; Kinjal Basu 001; Souvik Ghosh; Ying Xuan; Yang Yang 095; Liang Zhang 021 (KDD, 2018)

Deep Natural Language Processing for Search and Recommender Systems. - Weiwei Guo; Huiji Gao; Jun Shi; Bo Long; Liang Zhang 021; Bee-Chung Chen; Deepak Agarwal (KDD, 2019)

Continuous Monitoring and Development of an Intelligent Tutoring System through Data Mining. - Haripriya Valayaputtur; Deepak Agarwal; Anupama Muraleedharan (T4E, 2019)

DeText: A Deep Text Ranking Framework with BERT. - Weiwei Guo; Xiaowei Liu; Sida Wang 002; Huiji Gao; Ananth Sankar; Zimeng Yang; Qi Guo 003; Liang Zhang 021; Bo Long; Bee-Chung Chen; Deepak Agarwal (CIKM, 2020)

Dynamic knowledge tracing through data driven recency weights. - Deepak Agarwal; Ryan Baker 001; Anupama Muraleedharan (EDM, 2020)

Evaluating Fairness Using Permutation Tests. - Cyrus DiCiccio; Sriram Vasudevan; Kinjal Basu 001; Krishnaram Kenthapadi; Deepak Agarwal (KDD, 2020)

Scalable Assessment and Mitigation Strategies for Fairness in Rankings. - Preetam Nandy; Amir Sepehri; Kinjal Basu 001; Heloise Logan; Deepak Agarwal; Noureddine El Karoui (CoRR, 2020)

Development of an Automated Algorithm to Quantify Optic Nerve Diameter Using Ultrasound Measures: Implications for Optic Neuropathies. - Vishal Gupta; Maninder Singh; Rajeev Gupta; Basant Kumar; Deepak Agarwal (CVMI, 2022)

On Demand Transmissions of Common Signals for Network Energy Saving. - Deepak Agarwal; Deepak PM; Sheetal Kalyani; Ramya TR; J. Klutto Milleth (COMSNETS, 2025)