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Sahin Cem Geyik
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2020 – today
- 2020
- [c26]Sahin Cem Geyik, Luthfur Chowdhury, Florian Raudies, Wen Pu, Jianqiang Shen:
Impression Pacing for Jobs Marketplace at LinkedIn. CIKM 2020: 2445-2452 - [c25]Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly:
Explainable AI in industry: practical challenges and lessons learned: implications tutorial. FAT* 2020: 699 - [c24]Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly:
Explainable AI in Industry: Practical Challenges and Lessons Learned. WWW (Companion Volume) 2020: 303-304 - [i11]G. Roshan Lal, Sahin Cem Geyik, Krishnaram Kenthapadi:
Fairness-Aware Online Personalization. CoRR abs/2007.15270 (2020)
2010 – 2019
- 2019
- [c23]Maria De-Arteaga, Alexey Romanov, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai:
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting. FAT 2019: 120-128 - [c22]Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi:
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search. KDD 2019: 2221-2231 - [c21]Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly:
Explainable AI in Industry. KDD 2019: 3203-3204 - [c20]Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Kalai:
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. NAACL-HLT (1) 2019: 4187-4195 - [c19]Cagri Ozcaglar, Sahin Cem Geyik, Brian Schmitz, Prakhar Sharma, Alex Shelkovnykov, Yiming Ma, Erik Buchanan:
Entity Personalized Talent Search Models with Tree Interaction Features. WWW 2019: 3116-3122 - [i10]Maria De-Arteaga, Alexey Romanov, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai:
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting. CoRR abs/1901.09451 (2019) - [i9]Cagri Ozcaglar, Sahin Cem Geyik, Brian Schmitz, Prakhar Sharma, Alex Shelkovnykov, Yiming Ma, Erik Buchanan:
Entity Personalized Talent Search Models with Tree Interaction Features. CoRR abs/1902.09041 (2019) - [i8]Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Tauman Kalai:
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. CoRR abs/1904.05233 (2019) - [i7]Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi:
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search. CoRR abs/1905.01989 (2019) - 2018
- [c18]Sahin Cem Geyik, Vijay Dialani, Meng Meng, Ryan Smith:
In-Session Personalization for Talent Search. CIKM 2018: 2107-2115 - [c17]Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik:
Towards Deep and Representation Learning for Talent Search at LinkedIn. CIKM 2018: 2253-2261 - [c16]Sahin Cem Geyik, Qi Guo, Bo Hu, Cagri Ozcaglar, Ketan Thakkar, Xianren Wu, Krishnaram Kenthapadi:
Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned. SIGIR 2018: 1353-1354 - [i6]Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik:
Towards Deep and Representation Learning for Talent Search at LinkedIn. CoRR abs/1809.06473 (2018) - [i5]Sahin Cem Geyik, Qi Guo, Bo Hu, Cagri Ozcaglar, Ketan Thakkar, Xianren Wu, Krishnaram Kenthapadi:
Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned. CoRR abs/1809.06481 (2018) - [i4]Sahin Cem Geyik, Vijay Dialani, Meng Meng, Ryan Smith:
In-Session Personalization for Talent Search. CoRR abs/1809.06488 (2018) - 2017
- [i3]Sahin Cem Geyik, Jianqiang Shen, Shahriar Shariat, Ali Dasdan, Santanu Kolay:
Towards Data Quality Assessment in Online Advertising. CoRR abs/1711.11175 (2017) - 2016
- [c15]Sahin Cem Geyik, Sergey Faleev, Jianqiang Shen, Sean O'Donnell, Santanu Kolay:
Joint Optimization of Multiple Performance Metrics in Online Video Advertising. KDD 2016: 471-480 - 2015
- [c14]Jianqiang Shen, Burkay Orten, Sahin Cem Geyik, Daniel Liu, Shahriar Shariat, Fang Bian, Ali Dasdan:
From 0.5 Million to 2.5 Million: Efficiently Scaling up Real-Time Bidding. ICDM 2015: 973-978 - [c13]Jianqiang Shen, Sahin Cem Geyik, Ali Dasdan:
Effective Audience Extension in Online Advertising. KDD 2015: 2099-2108 - [i2]Sahin Cem Geyik, Ali Dasdan, Kuang-Chih Lee:
User Clustering in Online Advertising via Topic Models. CoRR abs/1501.06595 (2015) - [i1]Sahin Cem Geyik, Abhishek Saxena, Ali Dasdan:
Multi-Touch Attribution Based Budget Allocation in Online Advertising. CoRR abs/1502.06657 (2015) - 2014
- [j4]Eyuphan Bulut, Sahin Cem Geyik, Boleslaw K. Szymanski:
Utilizing correlated node mobility for efficient DTN routing. Pervasive Mob. Comput. 13: 150-163 (2014) - [c12]Sahin Cem Geyik, Abhishek Saxena, Ali Dasdan:
Multi-Touch Attribution Based Budget Allocation in Online Advertising. ADKDD@KDD 2014: 2:1-2:9 - 2013
- [j3]Sahin Cem Geyik, Eyuphan Bulut, Boleslaw K. Szymanski:
Grammatical Inference for Modeling Mobility Patterns in Networks. IEEE Trans. Mob. Comput. 12(11): 2119-2131 (2013) - [j2]Sahin Cem Geyik, Boleslaw K. Szymanski, Petros Zerfos:
Robust Dynamic Service Composition in Sensor Networks. IEEE Trans. Serv. Comput. 6(4): 560-572 (2013) - 2012
- [b1]Sahin Cem Geyik:
Network data modeling via grammatical structures. Rensselaer Polytechnic Institute, USA, 2012 - [j1]Sahin Cem Geyik, S. Yousaf Shah, Boleslaw K. Szymanski, Sanmay Das, Petros Zerfos:
Market mechanisms for resource allocation in pervasive sensor applications. Pervasive Mob. Comput. 8(3): 346-357 (2012) - [c11]Raheleh Dimaghani, Sahin Cem Geyik, Keith Grueneberg, Jorge Lobo, S. Yousaf Shah, Boleslaw K. Szymanski, Petros Zerfos:
Policy-Aware Service Composition in Sensor Networks. IEEE SCC 2012: 186-193 - [c10]Sahin Cem Geyik, Eyuphan Bulut, Boleslaw K. Szymanski:
Utilizing PCFGs for Modeling and Learning Service Compositions in Sensor Networks. IEEE SCC 2012: 282-289 - 2011
- [c9]Sahin Cem Geyik, Boleslaw K. Szymanski, Petros Zerfos, Abbe Mowshowitz:
Sensor Service Selection through Switch Options. IEEE SCC 2011: 717-724 - [c8]Boleslaw K. Szymanski, S. Yousaf Shah, Sahin Cem Geyik, Sanmay Das, Meenal Chhabra, Petros Zerfos:
Market mechanisms for Value of Information driven resource allocation in Sensor Networks. PerCom Workshops 2011: 20-25 - 2010
- [c7]Sahin Cem Geyik, Boleslaw K. Szymanski, Petros Zerfos, Dinesh C. Verma:
Dynamic Composition of Services in Sensor Networks. IEEE SCC 2010: 242-249 - [c6]Sahin Cem Geyik, Jierui Xie, Boleslaw K. Szymanski:
Behavior modeling with probabilistic context free grammars. FUSION 2010: 1-8 - [c5]Sahin Cem Geyik, Eyuphan Bulut, Boleslaw K. Szymanski:
PCFG Based Synthetic Mobility Trace Generation. GLOBECOM 2010: 1-5 - [c4]Eyuphan Bulut, Sahin Cem Geyik, Boleslaw K. Szymanski:
Efficient routing in delay tolerant networks with correlated node mobility. MASS 2010: 79-88 - [c3]Eyuphan Bulut, Sahin Cem Geyik, Boleslaw K. Szymanski:
Conditional shortest path routing in delay tolerant networks. WOWMOM 2010: 1-6
2000 – 2009
- 2009
- [c2]Sahin Cem Geyik, Boleslaw K. Szymanski:
Event Recognition in Sensor Networks by Means of Grammatical Inference. INFOCOM 2009: 900-908 - 2007
- [c1]Boleslaw K. Szymanski, Christopher Morrell, Sahin Cem Geyik, Thomas A. Babbitt:
Biologically Inspired Self Selective Routing with Preferred Path Selection. BIOWIRE 2007: 229-240
Coauthor Index
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