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2020 – today
- 2024
- [j16]Tomas Geffner, Javier Antorán, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang:
Deep End-to-end Causal Inference. Trans. Mach. Learn. Res. 2024 (2024) - [c71]Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West:
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. ACL (1) 2024: 6828-6844 - [c70]Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman, Munmun De Choudhury:
Observer Effect in Social Media Use. CHI 2024: 739:1-739:20 - [i34]Somya Sharma, Swati Sharma, Rafael Padilha, Emre Kiciman, Ranveer Chandra:
Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization. CoRR abs/2401.07175 (2024) - [i33]Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman:
Defending Against Indirect Prompt Injection Attacks With Spotlighting. CoRR abs/2403.14720 (2024) - [i32]Ahmed Alaa, Rachael V. Phillips, Emre Kiciman, Laura Balzer, Mark J. van der Laan, Maya Petersen:
Large Language Models as Co-Pilots for Causal Inference in Medical Studies. CoRR abs/2407.19118 (2024) - 2023
- [c69]Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings:
Language Model Decoding as Likelihood-Utility Alignment. EACL (Findings) 2023: 1425-1440 - [c68]Jivat Neet Kaur, Emre Kiciman, Amit Sharma:
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization. ICLR 2023 - [c67]Emre Kiciman:
An Open-Source Suite of Causal AI Tools and Libraries. WSDM 2023: 1283-1284 - [i31]Arash Nasr-Esfahany, Emre Kiciman:
Counterfactual (Non-)identifiability of Learned Structural Causal Models. CoRR abs/2301.09031 (2023) - [i30]Emre Kiciman, Robert Ness, Amit Sharma, Chenhao Tan:
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. CoRR abs/2305.00050 (2023) - [i29]Somya Sharma, Swati Sharma, Licheng Liu, Rishabh Tushir, Andy Neal, Robert Ness, John Crawford, Emre Kiciman, Ranveer Chandra:
Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science. CoRR abs/2306.09302 (2023) - [i28]Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Eric Horvitz, Robert West:
Food Choice Mimicry on a Large University Campus. CoRR abs/2308.16095 (2023) - [i27]Javier González Hernández, Cliff Wong, Zelalem Gero, Jass Bagga, Risa Ueno, Isabel Chien, Eduard Oravkin, Emre Kiciman, Aditya V. Nori, Roshanthi Weerasinghe, Rom S. Leidner, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon:
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models. CoRR abs/2311.01301 (2023) - [i26]Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West:
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. CoRR abs/2312.02073 (2023) - [i25]Sara Abdali, Anjali Parikh, Steve Lim, Emre Kiciman:
Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning. CoRR abs/2312.06820 (2023) - [i24]Jingwei Yi, Yueqi Xie, Bin Zhu, Keegan Hines, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu:
Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models. CoRR abs/2312.14197 (2023) - 2022
- [j15]Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman:
Causal Inference in the Presence of Interference in Sponsored Search Advertising. Frontiers Big Data 5 (2022) - [c66]Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar:
Investigations of Performance and Bias in Human-AI Teamwork in Hiring. AAAI 2022: 12089-12097 - [c65]Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Saurabh Tiwary, Robert West:
Invariant Language Modeling. EMNLP 2022: 5728-5743 - [c64]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
The KDD 2022 Workshop on Causal Discovery (CD2022). KDD 2022: 4884-4885 - [c63]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2022: 1-2 - [c62]Yue Gao, Jack W. Stokes, Manoj Ajith Prasad, Andrew T. Marshall, Kassem Fawaz, Emre Kiciman:
I Know Your Triggers: Defending Against Textual Backdoor Attacks with Benign Backdoor Augmentation. MILCOM 2022: 442-449 - [e7]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
The KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA. Proceedings of Machine Learning Research 185, PMLR 2022 [contents] - [i23]Tomas Geffner, Javier Antorán, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang:
Deep End-to-end Causal Inference. CoRR abs/2202.02195 (2022) - [i22]Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Ece Kamar:
Investigations of Performance and Bias in Human-AI Teamwork in Hiring. CoRR abs/2202.11812 (2022) - [i21]Jivat Neet Kaur, Emre Kiciman, Amit Sharma:
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization. CoRR abs/2206.07837 (2022) - [i20]Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings, Robert West:
Language Model Decoding as Likelihood-Utility Alignment. CoRR abs/2210.07228 (2022) - [i19]Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma:
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems. CoRR abs/2210.10636 (2022) - [i18]Somya Sharma, Swati Sharma, Andy Neal, Sara Malvar, Eduardo Rodrigues, John Crawford, Emre Kiciman, Ranveer Chandra:
Causal Modeling of Soil Processes for Improved Generalization. CoRR abs/2211.05675 (2022) - 2021
- [j14]Kristina Gligoric, Ryen W. White, Emre Kiciman, Eric Horvitz, Arnaud Chiolero, Robert West:
Formation of Social Ties Influences Food Choice: A Campus-wide Longitudinal Study. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 184:1-184:25 (2021) - [c61]Shuxi Zeng, Murat Ali Bayir, Joseph J. Pfeiffer III, Denis Charles, Emre Kiciman:
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. WSDM 2021: 211-219 - [c60]Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman:
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. WSDM 2021: 409-417 - [i17]Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman:
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix. CoRR abs/2101.07732 (2021) - [i16]Kristina Gligoric, Ryen W. White, Emre Kiciman, Eric Horvitz, Arnaud Chiolero, Robert West:
Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study. CoRR abs/2102.08755 (2021) - [i15]Amit Sharma, Vasilis Syrgkanis, Cheng Zhang, Emre Kiciman:
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions. CoRR abs/2108.13518 (2021) - [i14]Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Robert West:
Population-scale dietary interests during the COVID-19 pandemic. CoRR abs/2109.10808 (2021) - [i13]Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, Dean Carignan, Emre Kiciman, Robert West:
Invariant Language Modeling. CoRR abs/2110.08413 (2021) - 2020
- [j13]Sanjaya Wijeratne, Horacio Saggion, Emre Kiciman, Amit P. Sheth:
Emoji Understanding and Applications in Social Media: Lay of the Land and Special Issue Introduction. ACM Trans. Soc. Comput. 3(2): 6:1-6:5 (2020) - [c59]Amit Sharma, Emre Kiciman:
Causal Inference and Counterfactual Reasoning. COMAD/CODS 2020: 369-370 - [c58]Dana M. Nguyen, Alexandra Olteanu, Emre Kiciman:
External Information Sharing on Health Forums: An Exploration. ICWSM 2020: 954-958 - [c57]Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen:
Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2020: 1-3 - [c56]Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan:
AvE: Assistance via Empowerment. NeurIPS 2020 - [e6]Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen:
Proceedings of the 2020 KDD Workshop on Causal Discovery (CD@KDD 2020), San Diego, CA, USA, 24 August 2020. Proceedings of Machine Learning Research 127, PMLR 2020 [contents] - [i12]Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang:
Novel Human-Object Interaction Detection via Adversarial Domain Generalization. CoRR abs/2005.11406 (2020) - [i11]Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan:
AvE: Assistance via Empowerment. CoRR abs/2006.14796 (2020) - [i10]Ivan Evtimov, Weidong Cui, Ece Kamar, Emre Kiciman, Tadayoshi Kohno, Jerry Li:
Security and Machine Learning in the Real World. CoRR abs/2007.07205 (2020) - [i9]Razieh Nabi, Joel Pfeiffer, Murat Ali Bayir, Denis Charles, Emre Kiciman:
Causal Inference in the Presence of Interference in Sponsored Search Advertising. CoRR abs/2010.07458 (2020) - [i8]Shuxi Zeng, Murat Ali Bayir, Joel Pfeiffer, Denis Charles, Emre Kiciman:
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction. CoRR abs/2010.08710 (2020) - [i7]Amit Sharma, Emre Kiciman:
DoWhy: An End-to-End Library for Causal Inference. CoRR abs/2011.04216 (2020) - [i6]Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman:
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions. CoRR abs/2011.05877 (2020)
2010 – 2019
- 2019
- [j12]Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman:
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. Frontiers Big Data 2: 13 (2019) - [j11]Mehrdad Farajtabar, Emre Kiciman, Girish Nathan, Ryen W. White:
Modeling behaviors and lifestyle with online and social data for predicting and analyzing sleep and exercise quality. Int. J. Data Sci. Anal. 8(4): 367-383 (2019) - [j10]Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui:
Introduction to the Special Section on Advances in Causal Discovery and Inference. ACM Trans. Intell. Syst. Technol. 10(5): 45:1-45:3 (2019) - [c55]Maggie Makar, Adith Swaminathan, Emre Kiciman:
A Distillation Approach to Data Efficient Individual Treatment Effect Estimation. AAAI 2019: 4544-4551 - [c54]Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar:
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. HCOMP 2019: 125-134 - [c53]Koustuv Saha, Benjamin Sugar, John Torous, Bruno D. Abrahao, Emre Kiciman, Munmun De Choudhury:
A Social Media Study on the Effects of Psychiatric Medication Use. ICWSM 2019: 440-451 - [c52]Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen:
Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2019: 1-3 - [c51]Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell:
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. KDD 2019: 3205-3206 - [c50]Emre Kiciman, Amit Sharma:
Causal Inference and Counterfactual Reasoning (3hr Tutorial). WSDM 2019: 828-829 - [c49]Sarah Bird, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell:
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. WSDM 2019: 834-835 - [c48]Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell:
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. WWW (Companion Volume) 2019: 1297-1298 - [e5]Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvärinen:
Proceedings of the 2019 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2019, Anchorage, Alaska, USA, August 5, 2019. Proceedings of Machine Learning Research 104, PMLR 2019 [contents] - [i5]Andi Peng, Besmira Nushi, Emre Kiciman, Kori Inkpen, Siddharth Suri, Ece Kamar:
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. CoRR abs/1909.03567 (2019) - 2018
- [j9]Munmun De Choudhury, Emre Kiciman:
Integrating Artificial and Human Intelligence in Complex, Sensitive Problem Domains: Experiences from Mental Health. AI Mag. 39(3): 69-80 (2018) - [j8]Lin Liu, Jiuyong Li, Kun Zhang, Emre Kiciman, Negar Kiyavash:
Guest Editorial: Special Issue on Causal Discovery 2017. Int. J. Data Sci. Anal. 6(1): 1-2 (2018) - [c47]Emre Kiciman, Jorgen Thelin:
Answering What If, Should I, and Other Expectation Exploration Queries Using Causal Inference over Longitudinal Data. DESIRES 2018: 9-15 - [c46]Emre Kiciman, Scott Counts, Melissa Gasser:
Using Longitudinal Social Media Analysis to Understand the Effects of Early College Alcohol Use. ICWSM 2018: 171-180 - [c45]Thuc Duy Le, Kun Zhang, Emre Kiciman, Aapo Hyvärinen, Lin Liu:
Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2018: 1-3 - [c44]Emre Kiciman:
Causal Inference over Longitudinal Data to Support Expectation Exploration. SIGIR 2018: 1345 - [c43]Alexandra Olteanu, Emre Kiciman, Carlos Castillo:
A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. WSDM 2018: 785-786 - [e4]Thuc Duy Le, Kun Zhang, Emre Kiciman, Aapo Hyvärinen, Lin Liu:
Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, CD@KDD 2018, London, UK, 20 August 2018. Proceedings of Machine Learning Research 92, PMLR 2018 [contents] - 2017
- [c42]Alexandra Olteanu, Onur Varol, Emre Kiciman:
Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media. CSCW 2017: 370-386 - [c41]Munmun De Choudhury, Emre Kiciman:
The Language of Social Support in Social Media and Its Effect on Suicidal Ideation Risk. ICWSM 2017: 32-41 - [i4]Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart, Jason A. Holmberg, Jason Parham, Sreejith Menon, Jonathan P. Crall, Jon Van Oast, Emre Kiciman, Lucas Joppa:
Wildbook: Crowdsourcing, computer vision, and data science for conservation. CoRR abs/1710.08880 (2017) - 2016
- [j7]Christopher Amato, Ofra Amir, Joanna Bryson, Barbara J. Grosz, Bipin Indurkhya, Emre Kiciman, Takashi Kido, William F. Lawless, Miao Liu, Braden McDorman, Ross Mead, Frans A. Oliehoek, Andrew Specian, Georgi Stojanov, Keiki Takadama:
Reports of the AAAI 2016 Spring Symposium Series. AI Mag. 37(4): 83-88 (2016) - [c40]Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, Mrinal Kumar:
Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media. CHI 2016: 2098-2110 - [c39]Munmun De Choudhury, Sanket S. Sharma, Emre Kiciman:
Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media. CSCW 2016: 1155-1168 - [c38]Alexandra Olteanu, Onur Varol, Emre Kiciman:
Towards an Open-Domain Framework for Distilling the Outcomes of Personal Experiences from Social Media Timelines. ICWSM 2016: 647-650 - [c37]Abhimanyu Das, Sreenivas Gollapudi, Emre Kiciman, Onur Varol:
Information dissemination in heterogeneous-intent networks. WebSci 2016: 259-268 - [i3]Andrés Monroy-Hernández, Shelly Farnham, Emre Kiciman, Scott Counts, Munmun De Choudhury:
Smart Societies: From Citizens as Sensors to Collective Action. CoRR abs/1605.08844 (2016) - 2015
- [c36]Emre Kiciman:
Towards Learning a Knowledge Base of Actions from Experiential Microblogs. AAAI Spring Symposia 2015 - [c35]Emre Kiciman, Matthew Richardson:
Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media. KDD 2015: 547-556 - [c34]Paul N. Bennett, Emre Kiciman:
Persona-ization: Searching on Behalf of Others. SPS@SIGIR 2015: 26-32 - [i2]Andrés Monroy-Hernández, Emre Kiciman, danah boyd, Scott Counts:
Narcotweets: Social Media in Wartime. CoRR abs/1507.01290 (2015) - [i1]Andrés Monroy-Hernández, danah boyd, Emre Kiciman, Munmun De Choudhury, Scott Counts:
The New War Correspondents: the Rise of Civic Media Curation in Urban Warfare. CoRR abs/1507.01291 (2015) - 2014
- [c33]Emre Kiciman, Scott Counts, Michael Gamon, Munmun De Choudhury, Bo Thiesson:
Discussion Graphs: Putting Social Media Analysis in Context. ICWSM 2014 - [c32]Yuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd:
Entity linking at the tail: sparse signals, unknown entities, and phrase models. WSDM 2014: 453-462 - 2013
- [j6]Andrés Monroy-Hernández, Shelly Farnham, Emre Kiciman, Scott Counts, Munmun De Choudhury:
Smart societies: from citizens as sensors to collective action. Interactions 20(4): 16-19 (2013) - [c31]Andrés Monroy-Hernández, danah boyd, Emre Kiciman, Munmun De Choudhury, Scott Counts:
The new war correspondents: he rise of civic media curation in urban warfare. CSCW 2013: 1443-1452 - [c30]Yuzhe Jin, Kuansan Wang, Emre Kiciman:
Sparse lexical representation for semantic entity resolution. ICASSP 2013: 8575-8579 - [c29]Stephen D. Guo, Ming-Wei Chang, Emre Kiciman:
To Link or Not to Link? A Study on End-to-End Tweet Entity Linking. HLT-NAACL 2013: 1020-1030 - [e3]Emre Kiciman, Nicole B. Ellison, Bernie Hogan, Paul Resnick, Ian Soboroff:
Proceedings of the Seventh International Conference on Weblogs and Social Media, ICWSM 2013, Cambridge, Massachusetts, USA, July 8-11, 2013. The AAAI Press 2013, ISBN 978-1-57735-610-3 [contents] - 2012
- [c28]Huizhong Duan, Emre Kiciman, ChengXiang Zhai:
Click patterns: an empirical representation of complex query intents. CIKM 2012: 1035-1044 - [c27]Emre Kiciman:
OMG, I Have to Tweet that! A Study of Factors that Influence Tweet Rates. ICWSM 2012 - [c26]Andrés Monroy-Hernández, Emre Kiciman, danah boyd, Scott Counts:
Narcotweets: Social Media in Wartime. ICWSM 2012 - [c25]Bimal Viswanath, Emre Kiciman, Stefan Saroiu:
Keeping information safe from social networking apps. WOSN 2012: 49-54 - 2010
- [j5]Emre Kiciman, V. Benjamin Livshits:
AjaxScope: A Platform for Remotely Monitoring the Client-Side Behavior of Web 2.0 Applications. ACM Trans. Web 4(4): 13:1-13:52 (2010) - [c24]Emre Kiciman, V. Benjamin Livshits, Madanlal Musuvathi, Kevin C. Webb:
Fluxo: a system for internet service programming by non-expert developers. SoCC 2010: 107-118 - [c23]George Danezis, Tuomas Aura, Shuo Chen, Emre Kiciman:
How to Share Your Favourite Search Results while Preserving Privacy and Quality. Privacy Enhancing Technologies 2010: 273-290 - [e2]Manish Parashar, Renato J. O. Figueiredo, Emre Kiciman:
Proceedings of the 7th International Conference on Autonomic Computing, ICAC 2010, Washington, DC, USA, June 7-11, 2010. ACM 2010, ISBN 978-1-4503-0074-2 [contents]
2000 – 2009
- 2009
- [c22]Alexander Rasmussen, Emre Kiciman, V. Benjamin Livshits, Madanlal Musuvathi:
Improving the responsiveness of internet services with automatic cache placement. EuroSys 2009: 27-32 - [c21]Emre Kiciman, V. Benjamin Livshits, Madanlal Musuvathi:
FLUXO: A Simple Service Compiler. HotOS 2009 - [c20]Emre Kiciman, Benjamin Livshits, Madanlal Musuvathi:
CatchAndRetry: extending exceptions to handle distributed system failures and recovery. PLOS@SOSP 2009: 4:1-4:5 - [e1]Jeffrey S. Chase, Emre Kiciman, Rich Wolski:
Proceedings of the 1st Workshop on Automated Control for Datacenters and Clouds, ACDC@ICAC 2009, Barcelona, Spain, June 19, 2009. ACM 2009, ISBN 978-1-60558-585-7 [contents] - 2008
- [c19]V. Benjamin Livshits, Emre Kiciman:
Doloto: code splitting for network-bound web 2.0 applications. SIGSOFT FSE 2008: 350-360 - 2007
- [c18]Emre Kiciman, Helen J. Wang:
Live Monitoring: Using Adaptive Instrumentation and Analysis to Debug and Maintain Web Applications. HotOS 2007 - [c17]John C. Platt, Emre Kiciman, David A. Maltz:
Fast Variational Inference for Large-scale Internet Diagnosis. NIPS 2007: 1169-1176 - [c16]Emre Kiciman, V. Benjamin Livshits:
AjaxScope: a platform for remotely monitoring the client-side behavior of web 2.0 applications. SOSP 2007: 17-30 - 2006
- [j4]George Candea, Emre Kiciman, Shinichi Kawamoto, Armando Fox:
Autonomous recovery in componentized Internet applications. Clust. Comput. 9(2): 175-190 (2006) - [c15]Emre Kiciman, David A. Maltz, Moisés Goldszmidt, John C. Platt:
Mining web logs to debug distant connectivity problems. MineNet 2006: 287-292 - [c14]Chad Verbowski, Emre Kiciman, Arunvijay Kumar, Brad Daniels, Shan Lu, Juhan Lee, Yi-Min Wang, Roussi Roussev:
Flight Data Recorder: Monitoring Persistent-State Interactions to Improve Systems Management. OSDI 2006: 117-130 - [c13]Richard Mortier, Emre Kiciman:
Autonomic network management: some pragmatic considerations. INM@SIGCOMM 2006: 89-93 - [c12]Chad Verbowski, Emre Kiciman, Brad Daniels, Yi-Min Wang, Roussi Roussev, Shan Lu, Juhan Lee:
Analyzing persistent state interactions to improve state management. SIGMETRICS/Performance 2006: 363-364 - 2005
- [b1]Emre Kiciman:
Using statistical monitoring to detect failures in internet services. Stanford University, USA, 2005 - [j3]Emre Kiciman, Armando Fox:
Detecting application-level failures in component-based Internet services. IEEE Trans. Neural Networks 16(5): 1027-1041 (2005) - 2004
- [c11]Benjamin C. Ling, Emre Kiciman, Armando Fox:
Session State: Beyond Soft State. NSDI 2004: 295-308 - [c10]Mike Y. Chen, Anthony J. Accardi, Emre Kiciman, David A. Patterson, Armando Fox, Eric A. Brewer:
Path-Based Failure and Evolution Management. NSDI 2004: 309-322 - [c9]Armando Fox, Emre Kiciman, David A. Patterson:
Combining statistical monitoring and predictable recovery for self-management. WOSS 2004: 49-53 - 2003
- [c8]Mike Y. Chen, Emre Kiciman, Anthony J. Accardi, Armando Fox, Eric A. Brewer:
Using Runtime Paths for Macroanalysis. HotOS 2003: 79-84 - [c7]