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Abraham Bagherjeiran
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2020 – today
- 2024
- [c24]Joobin Gharibshah, Mahmuda Rahman, Abraham Bagherjeiran:
AFA: Auto-tuning Filters for Ads. AdKDD@KDD 2024 - [c23]Ehsan Ebrahimzadeh, Alex Cozzi, Abraham Bagherjeiran:
Counterfactual Learning to Rank via Knowledge Distillation. eCom@SIGIR 2024 - [c22]Abraham Bagherjeiran
, Nemanja Djuric
AdKDD 2024. KDD 2024: 6706-6707 - [c21]Ehsan Ebrahimzadeh, Nikhil Monga, Hang Gao, Alex Cozzi, Abraham Bagherjeiran:
Ranking Policy Learning via Marketplace Expected Value Estimation From Observational Data. SURE@RecSys 2024 - [e2]Abraham Bagherjeiran, Nemanja Djuric, Kuang-chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan:
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2024) co-located with the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Barcelona, Spain, August 25, 2024. CEUR Workshop Proceedings 3837, CEUR-WS.org 2024 [contents] - [i4]Ehsan Ebrahimzadeh, Nikhil Monga, Hang Gao, Alex Cozzi, Abraham Bagherjeiran:
Ranking Policy Learning via Marketplace Expected Value Estimation From Observational Data. CoRR abs/2410.04568 (2024) - 2023
- [c20]Phuong Ha Nguyen, Djordje Gligorijevic, Arnab Borah, Gajanan Adalinge, Abraham Bagherjeiran:
Practical Budget Pacing Algorithms and Simulation Test Bed for eBay Marketplace Sponsored Search. AdKDD@KDD 2023 - [c19]Dominic Seyler, Ehsan Ebrahimzadeh, Alex Cozzi, Abraham Bagherjeiran:
Aligning Ranking Objectives with E-commerce Search Intent. eCom@SIGIR 2023 - [c18]Abraham Bagherjeiran
AdKDD 2023. KDD 2023: 5849-5850 - [c17]Ehsan Ebrahimzadeh
Intent-Aware Propensity Estimation via Click Pattern Stratification. WWW (Companion Volume) 2023: 751-755 - [e1]Abraham Bagherjeiran, Nemanja Djuric, Kuang-chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan:
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2023) co-located with the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, August 7, 2023. CEUR Workshop Proceedings 3556, CEUR-WS.org 2023 [contents] - 2022
- [c16]Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie:
AdKDD 2022. KDD 2022: 4852-4853 - 2021
- [c15]Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-chih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan:
AdKDD 2021. KDD 2021: 4106-4107 - [i3]Yipeng Zhang, Mingjian Lu, Saratchandra Indrakanti, Manojkumar Rangasamy Kannadasan, Abraham Bagherjeiran:
Conditional Sequential Slate Optimization. CoRR abs/2108.05618 (2021)
2010 – 2019
- 2018
- [c14]Lu Tang, Sougata Chaudhuri, Abraham Bagherjeiran, Ling Zhou:
Learning Large Scale Ordinal Ranking Model via Divide-and-Conquer Technique. WWW (Companion Volume) 2018: 1901-1909 - 2017
- [c13]Sougata Chaudhuri, Abraham Bagherjeiran, James Liu:
Ranking and Calibrating Click-Attributed Purchases in Performance Display Advertising. ADKDD@KDD 2017: 7:1-7:6 - [i2]Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan:
Proceedings of the 2017 AdKDD & TargetAd Workshop. CoRR abs/1707.03471 (2017) - 2015
- [i1]Joseph Paul Cohen, Wei Ding, Abraham Bagherjeiran:
Semi-Supervised Web Wrapper Repair via Recursive Tree Matching. CoRR abs/1505.01303 (2015) - 2011
- [c12]Sandeep Pandey, Mohamed Aly, Abraham Bagherjeiran, Andrew O. Hatch, Peter Ciccolo, Adwait Ratnaparkhi, Martin Zinkevich:
Learning to target: what works for behavioral targeting. CIKM 2011: 1805-1814 - [c11]Ruth Miller, Chun-Sheng Chen, Christoph F. Eick, Abraham Bagherjeiran:
A framework for spatial feature selection and scoping and its application to geo-targeting. ICSDM 2011: 26-31 - [c10]Ashish Mangalampalli, Adwait Ratnaparkhi, Andrew O. Hatch, Abraham Bagherjeiran, Rajesh Parekh, Vikram Pudi
A feature-pair-based associative classification approach to look-alike modeling for conversion-oriented user-targeting in tail campaigns. WWW (Companion Volume) 2011: 85-86 - 2010
- [c9]Abraham Bagherjeiran, Andrew O. Hatch, Adwait Ratnaparkhi, Rajesh Parekh:
Large-Scale Customized Models for Advertisers. ICDM Workshops 2010: 1029-1036 - [c8]Abraham Bagherjeiran, Andrew O. Hatch, Adwait Ratnaparkhi:
Ranking for the conversion funnel. SIGIR 2010: 146-153 - [p2]Abraham Bagherjeiran, Rushi Bhatt, Rajesh Parekh, Vineet Chaoji
Online Advertising in Social Networks. Handbook of Social Network Technologies 2010: 651-689
2000 – 2009
- 2008
- [c7]Abraham Bagherjeiran, Rajesh Parekh:
Combining Behavioral and Social Network Data for Online Advertising. ICDM Workshops 2008: 837-846 - [p1]Abraham Bagherjeiran, Christoph F. Eick:
Distance Function Learning for Supervised Similarity Assessment. Case-Based Reasoning on Images and Signals 2008: 91-126 - 2007
- [c6]Abraham Bagherjeiran, Nicole S. Love, Chandrika Kamath:
Estimating Missing Features to Improve Multimedia Retrieval. ICIP (2) 2007: 233-236 - 2006
- [j1]Christoph F. Eick, Alain Rouhana, Abraham Bagherjeiran, Ricardo Vilalta:
Using clustering to learn distance functions for supervised similarity assessment. Eng. Appl. Artif. Intell. 19(4): 395-401 (2006) - [c5]Abraham Bagherjeiran:
A Value Theory of Meta-Learning Algorithms. AAAI 2006: 1904-1905 - [c4]Abraham Bagherjeiran, Chandrika Kamath:
Graph-based Methods for Orbit Classification. SDM 2006: 574-578 - 2005
- [c3]Abraham Bagherjeiran, Christoph F. Eick, Chun-Sheng Chen, Ricardo Vilalta:
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience. ICDM 2005: 565-568 - [c2]Abraham Bagherjeiran, Ricardo Vilalta, Christoph F. Eick:
Content-Based Image Retrieval through a Multi-Agent Meta-Learning Framework. ICTAI 2005: 24-28 - [c1]Christoph F. Eick, Alain Rouhana, Abraham Bagherjeiran, Ricardo Vilalta:
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment. MLDM 2005: 120-131
Coauthor Index
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