Deepak Agarwal

According to our database1, Deepak Agarwal authored at least 76 papers between 2004 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Scalable Assessment and Mitigation Strategies for Fairness in Rankings.
CoRR, 2020

Evaluating Fairness Using Permutation Tests.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Dynamic knowledge tracing through data driven recency weights.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

DeText: A Deep Text Ranking Framework with BERT.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Continuous Monitoring and Development of an Intelligent Tutoring System through Data Mining.
Proceedings of the Tenth IEEE International Conference on Technology for Education, 2019

Deep Natural Language Processing for Search and Recommender Systems.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Online Parameter Selection for Web-based Ranking Problems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Contextual Derivation of Stable BKT Parameters for Analysing Content Efficacy.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017
Social Incentive Optimization in Online Social Networks.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

The Future of Artificially Intelligent Assistants.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Data-Driven Reserve Prices for Social Advertising Auctions at LinkedIn.
Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017

Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Tutorial: Lessons Learned from Building Real-life Recommender Systems.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Scout: A Point of Presence Recommendation System Using Real User Monitoring Data.
Proceedings of the Passive and Active Measurement - 17th International Conference, 2016

GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

An Empirical Study on Recommendation with Multiple Types of Feedback.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Ranking Universities Based on Career Outcomes of Graduates.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Recommendations in the context of a Social Network.
Proceedings of the 21st International Conference on Management of Data, 2016

2015
Constrained Optimization for Homepage Relevance.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Amazon Redshift and the Case for Simpler Data Warehouses.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Personalizing LinkedIn Feed.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Scaling Machine Learning and Statistics for Web Applications.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Introduction to the Special Issue on Online Advertising.
ACM Trans. Intell. Syst. Technol., 2014

LASER: a scalable response prediction platform for online advertising.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Budget pacing for targeted online advertisements at LinkedIn.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Activity ranking in LinkedIn feed.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Introduction to the Special Issue ACM SIGKDD 2012.
ACM Trans. Knowl. Discov. Data, 2013

Content recommendation on web portals.
Commun. ACM, 2013

Organizational overlap on social networks and its applications.
Proceedings of the 22nd International World Wide Web Conference, 2013

Estimating sharer reputation via social data calibration.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Automatic ad format selection via contextual bandits.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Recommending items to users: an explore/exploit perspective.
Proceedings of the 1st workshop on User engagement optimization, 2013

Computational advertising: the linkedin way.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Parallel matrix factorization for binary response.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Targeting converters for new campaigns through factor models.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Finding the right consumer: optimizing for conversion in display advertising campaigns.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Fast top-k retrieval for model based recommendation.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Personalized click shaping through lagrangian duality for online recommendation.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Multi-faceted ranking of news articles using post-read actions.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Linear-Time Estimators for Propensity Scores.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Discussion of "Learning Scale Free Networks by Reweighted L1 regularization".
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Latent OLAP: data cubes over latent variables.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Generalizing matrix factorization through flexible regression priors.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Response prediction using collaborative filtering with hierarchies and side-information.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Multiple domain user personalization.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Temporal multi-hierarchy smoothing for estimating rates of rare events.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Localized factor models for multi-context recommendation.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Click shaping to optimize multiple objectives.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Personalized Recommendation of User Comments via Factor Models.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010
fLDA: matrix factorization through latent dirichlet allocation.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Forecasting high-dimensional data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Fast online learning through offline initialization for time-sensitive recommendation.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Estimating rates of rare events with multiple hierarchies through scalable log-linear models.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Spatio-temporal models for estimating click-through rate.
Proceedings of the 18th International Conference on World Wide Web, 2009

A spatio-temporal approach to collaborative filtering.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Regression-based latent factor models.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Explore/Exploit Schemes for Web Content Optimization.
Proceedings of the ICDM 2009, 2009

Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering.
Proceedings of the Advances in Information Retrieval, 2009

Translating relevance scores to probabilities for contextual advertising.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Contextual advertising by combining relevance with click feedback.
Proceedings of the 17th International Conference on World Wide Web, 2008

Fast Computation of Posterior Mode in Multi-Level Hierarchical Models.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Online Models for Content Optimization.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

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

Bandits for Taxonomies: A Model-based Approach.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Predictive discrete latent factor models for large scale dyadic data.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Efficient and effective explanation of change in hierarchical summaries.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Estimating rates of rare events at multiple resolutions.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Transformation Invariant Robust Shape Analysis.
Proceedings of the 2007 International Conference on Image Processing, 2007

Multi-armed bandit problems with dependent arms.
Proceedings of the Machine Learning, 2007

Parsimonious Explanations of Change in Hierarchical Data.
Proceedings of the 23rd International Conference on Data Engineering, 2007

2006
FPGA Dynamic Power Minimization through Placement and Routing Constraints.
EURASIP J. Embed. Syst., 2006

The hunting of the bump: on maximizing statistical discrepancy.
Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2006

Spatial scan statistics: approximations and performance study.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005
Mining Customer Care Dialogs for "Daily News".
IEEE Trans. Speech Audio Process., 2005

Tuning representations of dynamic network data.
Proceedings of the 3rd international workshop on Link discovery, 2005

2004
Mining customer care dialogs for "daily news".
Proceedings of the INTERSPEECH 2004, 2004


  Loading...