Deepak Agarwal

87 papers A* 36A 19B 3Misc 2Journal 13Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Support Tokens, Stability Margins, and a New Foundation for Robust LLMs.
CoRR
Deepak Agarwal, Dhyey Dharmendrakumar Mavani, Suyash Gupta, Karthik Sethuraman, Tejas Dharamsi
2025 Misc conf
On Demand Transmissions of Common Signals for Network Energy Saving.
COMSNETS
Deepak Agarwal, Deepak PM, Sheetal Kalyani, Ramya TR, J. Klutto Milleth
2022 — ed.
Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022
WWW (Companion Volume)
Frédérique Laforest, Raphaël Troncy, Elena Simperl, Deepak Agarwal, Aristides Gionis, Ivan Herman, Lionel Médini
2022 — conf
Development of an Automated Algorithm to Quantify Optic Nerve Diameter Using Ultrasound Measures: Implications for Optic Neuropathies.
CVMI
Vishal Gupta, Maninder Singh, Rajeev Gupta, Basant Kumar, Deepak Agarwal
2022 A* ed.
WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022
WWW
Frédérique Laforest, Raphaël Troncy, Elena Simperl, Deepak Agarwal, Aristides Gionis, Ivan Herman, Lionel Médini
2020 A conf
DeText: A Deep Text Ranking Framework with BERT.
CIKM
Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal
2020 J jnl
DeText: A Deep Text Ranking Framework with BERT.
CoRR
Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal
2020 B conf
Dynamic knowledge tracing through data driven recency weights.
EDM
Deepak Agarwal, Ryan Baker, Anupama Muraleedharan
2020 A* conf
Evaluating Fairness Using Permutation Tests.
KDD
Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu, Krishnaram Kenthapadi, Deepak Agarwal
2020 J jnl
Scalable Assessment and Mitigation Strategies for Fairness in Rankings.
CoRR
Preetam Nandy, Amir Sepehri, Kinjal Basu, Heloise Logan, Deepak Agarwal, Noureddine El Karoui
2019 — conf
Continuous Monitoring and Development of an Intelligent Tutoring System through Data Mining.
T4E
Haripriya Valayaputtur, Deepak Agarwal, Anupama Muraleedharan
2019 A* conf
Deep Natural Language Processing for Search and Recommender Systems.
KDD
Weiwei Guo, Huiji Gao, Jun Shi, Bo Long, Liang Zhang, Bee-Chung Chen, Deepak Agarwal
2018 B conf
Contextual Derivation of Stable BKT Parameters for Analysing Content Efficacy.
EDM
Deepak Agarwal, Nishant Babel, Ryan S. Baker
2018 A* conf
Online Parameter Selection for Web-based Ranking Problems.
KDD
Deepak Agarwal, Kinjal Basu, Souvik Ghosh, Ying Xuan, Yang Yang, Liang Zhang
2017 A conf
Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary.
CIKM
Krishnaram Kenthapadi, Stuart Ambler, Liang Zhang, Deepak Agarwal
2017 J jnl
Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary.
CoRR
Krishnaram Kenthapadi, Stuart Ambler, Liang Zhang, Deepak Agarwal
2017 — conf
Data-Driven Reserve Prices for Social Advertising Auctions at LinkedIn.
ADKDD@KDD
Tingting Cui, Lijun Peng, David Pardoe, Kun Liu, Deepak Agarwal, Deepak Kumar
2017 A conf
Social Incentive Optimization in Online Social Networks.
WSDM
Guangde Chen, Bee-Chung Chen, Deepak Agarwal
2017 A* conf
The Future of Artificially Intelligent Assistants.
KDD
Muthu Muthukrishnan, Andrew Tomkins, Larry P. Heck, Alborz Geramifard, Deepak Agarwal
2016 A* conf
An Empirical Study on Recommendation with Multiple Types of Feedback.
KDD
Liang Tang, Bo Long, Bee-Chung Chen, Deepak Agarwal
2016 A* conf
GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction.
KDD
XianXing Zhang, Yitong Zhou, Yiming Ma, Bee-Chung Chen, Liang Zhang, Deepak Agarwal
2016 A* conf
Ranking Universities Based on Career Outcomes of Graduates.
KDD
Navneet Kapur, Nikita I. Lytkin, Bee-Chung Chen, Deepak Agarwal, Igor Perisic
2016 Misc conf
Recommendations in the context of a Social Network.
COMAD
Deepak Agarwal
2016 B conf
Scout: A Point of Presence Recommendation System Using Real User Monitoring Data.
PAM
Yang Yang, Liang Zhang, Ritesh Maheshwari, Zaid Ali Kahn, Deepak Agarwal, Sanjay Dubey
2016 A conf
Tutorial: Lessons Learned from Building Real-life Recommender Systems.
RecSys
Xavier Amatriain, Deepak Agarwal
2015 — conf
Amazon Redshift and the Case for Simpler Data Warehouses.
SIGMOD Conference
Anurag Gupta, Deepak Agarwal, Derek Tan, Jakub Kulesza, Rahul Pathak, Stefano Stefani, Vidhya Srinivasan
2015 — conf
Constrained Optimization for Homepage Relevance.
WWW (Companion Volume)
Deepak Agarwal, Shaunak Chatterjee, Yang Yang, Liang Zhang
2015 A* conf
Personalizing LinkedIn Feed.
KDD
Deepak Agarwal, Bee-Chung Chen, Qi He, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, Hsiao-Ping Tseng, Jaewon Yang, Liang Zhang
2015 A* conf
Scaling Machine Learning and Statistics for Web Applications.
KDD
Deepak Agarwal
2014 A* conf
Activity ranking in LinkedIn feed.
KDD
Deepak Agarwal, Bee-Chung Chen, Rupesh Gupta, Joshua Hartman, Qi He, Anand Iyer, Sumanth Kolar, Yiming Ma, Pannagadatta Shivaswamy, Ajit Singh, Liang Zhang
2014 A* conf
Budget pacing for targeted online advertisements at LinkedIn.
KDD
Deepak Agarwal, Souvik Ghosh, Kai Wei, Siyu You
2014 J jnl
Introduction to the Special Issue on Online Advertising.
ACM Trans. Intell. Syst. Technol.
Dou Shen, Deepak Agarwal
2014 A conf
LASER: a scalable response prediction platform for online advertising.
WSDM
Deepak Agarwal, Bo Long, Jonathan Traupman, Doris Xin, Liang Zhang
2013 A conf
Automatic ad format selection via contextual bandits.
CIKM
Liang Tang, Rómer Rosales, Ajit Singh, Deepak Agarwal
2013 A conf
Computational advertising: the linkedin way.
CIKM
Deepak Agarwal
2013 J jnl
Content recommendation on web portals.
Commun. ACM
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Raghu Ramakrishnan
2013 A* conf
Estimating sharer reputation via social data calibration.
KDD
Jaewon Yang, Bee-Chung Chen, Deepak Agarwal
2013 J jnl
Introduction to the Special Issue ACM SIGKDD 2012.
ACM Trans. Knowl. Discov. Data
Deepak Agarwal, Rich Caruana, Jian Pei, Ke Wang
2013 A* conf
Organizational overlap on social networks and its applications.
WWW
Cho-Jui Hsieh, Mitul Tiwari, Deepak Agarwal, Xinyi (Lisa) Huang, Sam Shah
2013 — conf
Parallel matrix factorization for binary response.
IEEE BigData
Rajiv Khanna, Liang Zhang, Deepak Agarwal, Bee-Chung Chen
2013 — conf
Recommending items to users: an explore/exploit perspective.
UEO@CIKM
Deepak Agarwal
2012 A conf
Fast top-k retrieval for model based recommendation.
WSDM
Deepak Agarwal, Maxim Gurevich
2012 A conf
Finding the right consumer: optimizing for conversion in display advertising campaigns.
WSDM
Yandong Liu, Sandeep Pandey, Deepak Agarwal, Vanja Josifovski
2012 J jnl
Multi-Faceted Ranking of News Articles using Post-Read Actions
CoRR
Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang
2012 A conf
Multi-faceted ranking of news articles using post-read actions.
CIKM
Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang
2012 J jnl
Parallel Matrix Factorization for Binary Response
CoRR
Rajiv Khanna, Liang Zhang, Deepak Agarwal, Bee-Chung Chen
2012 A* conf
Personalized click shaping through lagrangian duality for online recommendation.
SIGIR
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang
2012 A* conf
Targeting converters for new campaigns through factor models.
WWW
Deepak Agarwal, Sandeep Pandey, Vanja Josifovski
2012 A* ed.
The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012
KDD
Qiang Yang, Deepak Agarwal, Jian Pei
2011 A* conf
Click shaping to optimize multiple objectives.
KDD
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang
2011 A conf
Discussion of "Learning Scale Free Networks by Reweighted L1 regularization".
AISTATS
Deepak Agarwal
2011 A conf
Generalizing matrix factorization through flexible regression priors.
RecSys
Liang Zhang, Deepak Agarwal, Bee-Chung Chen
2011 — conf
Latent OLAP: data cubes over latent variables.
SIGMOD Conference
Deepak Agarwal, Bee-Chung Chen
2011 A conf
Linear-Time Estimators for Propensity Scores.
AISTATS
Deepak Agarwal, Lihong Li, Alexander J. Smola
2011 A* conf
Localized factor models for multi-context recommendation.
KDD
Deepak Agarwal, Bee-Chung Chen, Bo Long
2011 A* conf
Multiple domain user personalization.
KDD
Yucheng Low, Deepak Agarwal, Alexander J. Smola
2011 A* conf
Personalized Recommendation of User Comments via Factor Models.
EMNLP
Deepak Agarwal, Bee-Chung Chen, Bo Pang
2011 A* conf
Response prediction using collaborative filtering with hierarchies and side-information.
KDD
Aditya Krishna Menon, Krishna Prasad Chitrapura, Sachin Garg, Deepak Agarwal, Nagaraj Kota
2011 A* conf
Temporal multi-hierarchy smoothing for estimating rates of rare events.
KDD
Nagaraj Kota, Deepak Agarwal
2010 A* conf
Estimating rates of rare events with multiple hierarchies through scalable log-linear models.
KDD
Deepak Agarwal, Rahul Agrawal, Rajiv Khanna, Nagaraj Kota
2010 A* conf
Fast online learning through offline initialization for time-sensitive recommendation.
KDD
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
2010 — conf
Forecasting high-dimensional data.
SIGMOD Conference
Deepak Agarwal, Datong Chen, Long-Ji Lin, Jayavel Shanmugasundaram, Erik Vee
2010 A conf
fLDA: matrix factorization through latent dirichlet allocation.
WSDM
Deepak Agarwal, Bee-Chung Chen
2009 A conf
A spatio-temporal approach to collaborative filtering.
RecSys
Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon
2009 A* conf
Explore/Exploit Schemes for Web Content Optimization.
ICDM
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
2009 A conf
Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering.
ECIR
Yashar Moshfeghi, Deepak Agarwal, Benjamin Piwowarski, Joemon M. Jose
2009 A* conf
Regression-based latent factor models.
KDD
Deepak Agarwal, Bee-Chung Chen
2009 A* conf
Spatio-temporal models for estimating click-through rate.
WWW
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango
2009 A conf
Translating relevance scores to probabilities for contextual advertising.
CIKM
Deepak Agarwal, Evgeniy Gabrilovich, Robert J. Hall, Vanja Josifovski, Rajiv Khanna
2008 A* conf
Contextual advertising by combining relevance with click feedback.
WWW
Deepayan Chakrabarti, Deepak Agarwal, Vanja Josifovski
2008 — conf
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models.
NIPS
Liang Zhang, Deepak Agarwal
2008 — conf
Online Models for Content Optimization.
NIPS
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Nitin Motgi, Seung-Taek Park, Raghu Ramakrishnan, Scott Roy, Joe Zachariah
2007 A conf
Bandits for Taxonomies: A Model-based Approach.
SDM
Sandeep Pandey, Deepak Agarwal, Deepayan Chakrabarti, Vanja Josifovski
2007 J jnl
Detecting anomalies in cross-classified streams: a Bayesian approach.
Knowl. Inf. Syst.
Deepak Agarwal
2007 A* conf
Efficient and effective explanation of change in hierarchical summaries.
KDD
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos, Neal E. Young, Flip Korn, Divesh Srivastava
2007 A* conf
Estimating rates of rare events at multiple resolutions.
KDD
Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrabarti, Dejan Diklic, Vanja Josifovski, Mayssam Sayyadian
2007 A* conf
Multi-armed bandit problems with dependent arms.
ICML
Sandeep Pandey, Deepayan Chakrabarti, Deepak Agarwal
2007 A* conf
Parsimonious Explanations of Change in Hierarchical Data.
ICDE
Dhiman Barman, Flip Korn, Divesh Srivastava, Dimitrios Gunopulos, Neal E. Young, Deepak Agarwal
2007 A* conf
Predictive discrete latent factor models for large scale dyadic data.
KDD
Deepak Agarwal, Srujana Merugu
2007 — conf
Transformation Invariant Robust Shape Analysis.
IPCV
Neeta Nain, Vijay Laxmi, Manish Khandelwal, Deepak Agarwal, Dushyant Singh Rao, Pawan Kumar Verma
2006 J jnl
FPGA Dynamic Power Minimization through Placement and Routing Constraints.
EURASIP J. Embed. Syst.
Li Wang, Matthew French, Azadeh Davoodi, Deepak Agarwal
2006 A* conf
Spatial scan statistics: approximations and performance study.
KDD
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu
2006 A* conf
The hunting of the bump: on maximizing statistical discrepancy.
SODA
Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian
2005 J jnl
Mining Customer Care Dialogs for "Daily News".
IEEE Trans. Speech Audio Process.
Shona Douglas, Deepak Agarwal, Tirso Alonso, Robert M. Bell, Mazin Gilbert, Deborah F. Swayne, Chris Volinsky
2005 J jnl
The Hunting of the Bump: On Maximizing Statistical Discrepancy
CoRR
Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian
2005 — conf
Tuning representations of dynamic network data.
LinkKDD
Shawndra Hill, Deepak Agarwal, Robert M. Bell, Chris Volinsky
2004 A conf
Mining customer care dialogs for "daily news".
INTERSPEECH
Shona Douglas, Deepak Agarwal, Tirso Alonso, Robert M. Bell, Mazin G. Rahim, Deborah F. Swayne, Chris Volinsky