Eric Horvitz

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 162

Top Venues

Publications

Eric Horvitz, Vincent Conitzer, Sheila A. McIlraith, Peter Stone
Now, Later, and Lasting: 10 Priorities for AI Research, Policy, and Practice. Commun. ACM 67 (6) (2024)
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. AAAI (2024)
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. CHI (2024)
Robert Osazuwa Ness, Katie Matton, Hayden S. Helm, Sheng Zhang, Junaid Bajwa, Carey E. Priebe, Eric Horvitz
MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering. CoRR (2024)
Eric Horvitz, Vincent Conitzer, Sheila A. McIlraith, Peter Stone
Now, Later, and Lasting: Ten Priorities for AI Research, Policy, and Practice. CoRR (2024)
Abigail Sellen, Eric Horvitz
The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyond. Commun. ACM 67 (7) (2024)
Katelyn Morrison, Shamsi T. Iqbal, Eric Horvitz
AI-Powered Reminders for Collaborative Tasks: Experiences and Futures. CoRR (2024)
Katelyn Morrison, Shamsi T. Iqbal, Eric Horvitz
AI-Powered Reminders for Collaborative Tasks: Experiences and Futures. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Kristina Gligoric, Arnaud Chiolero, Emre Kiciman, Ryen W. White, Eric Horvitz, Robert West
Food Choice Mimicry on a Large University Campus. CoRR (2023)
Michael Poli, Stefano Massaroli, Stefano Ermon, Bryan Wilder, Eric Horvitz
Ideal Abstractions for Decision-Focused Learning. AISTATS (2023)
Abigail Sellen, Eric Horvitz
The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyond. CoRR (2023)
Debadutta Dash, Rahul Thapa, Juan M. Banda, Akshay Swaminathan, Morgan Cheatham, Mehr Kashyap, Nikesh Kotecha, Jonathan H. Chen, Saurabh Gombar, Lance Downing, Rachel Pedreira, Ethan Goh, Angel Arnaout, Garret Kenn Morris, Honor Magon, Matthew P. Lungren, Eric Horvitz, Nigam H. Shah
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery. CoRR (2023)
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott M. Lundberg, Harsha Nori, Hamid Palangi, Marco Túlio Ribeiro, Yi Zhang
Sparks of Artificial General Intelligence: Early experiments with GPT-4. CoRR (2023)
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. CoRR (2023)
Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, Eric Horvitz
Capabilities of GPT-4 on Medical Challenge Problems. CoRR (2023)
Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolò Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. CoRR (2023)
Serina Chang, Adam Fourney, Eric Horvitz
Accurate Measures of Vaccination and Concerns of Vaccine Holdouts from Web Search Logs. CoRR (2023)
Michael Poli, Stefano Massaroli, Stefano Ermon, Bryan Wilder, Eric Horvitz
Ideal Abstractions for Decision-Focused Learning. CoRR (2023)
Tom Hope, Doug Downey, Daniel S. Weld, Oren Etzioni, Eric Horvitz
A Computational Inflection for Scientific Discovery. Commun. ACM 66 (8) (2023)
Markus Anderljung, Joslyn Barnhart, Anton Korinek, Jade Leung, Cullen O'Keefe, Jess Whittlestone, Shahar Avin, Miles Brundage, Justin Bullock, Duncan Cass-Beggs, Ben Chang, Tantum Collins, Tim Fist, Gillian K. Hadfield, Alan Hayes, Lewis Ho, Sara Hooker, Eric Horvitz, Noam Kolt, Jonas Schuett, Yonadav Shavit, Divya Siddarth, Robert Trager, Kevin Wolf
Frontier AI Regulation: Managing Emerging Risks to Public Safety. CoRR (2023)
Riccardo Fogliato, Shreya Chappidi, Matthew P. Lungren, Michael Fitzke, Mark Parkinson, Diane Wilson, Paul Fisher, Eric Horvitz, Kori Inkpen, Besmira Nushi
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging. CoRR (2022)
Riccardo Fogliato, Shreya Chappidi, Matthew Lungren, Paul Fisher, Diane Wilson, Michael Fitzke, Mark Parkinson, Eric Horvitz, Kori Inkpen, Besmira Nushi
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging. FAccT (2022)
Shunit Agmon, Plia Gillis, Eric Horvitz, Kira Radinsky
Gender-sensitive word embeddings for healthcare. J. Am. Medical Informatics Assoc. 29 (3) (2022)
Jason Portenoy, Marissa Radensky, Jevin D. West, Eric Horvitz, Daniel S. Weld, Tom Hope
Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery. CHI (2022)
Dan Bohus, Sean Andrist, Ashley Feniello, Nick Saw, Eric Horvitz
Continual Learning about Objects in the Wild: An Interactive Approach. ICMI (2022)
Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope
A Search Engine for Discovery of Scientific Challenges and Directions. AAAI (2022)
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. CoRR (2022)
Maarten Sap, Anna Jafarpour, Yejin Choi, Noah A. Smith, James W. Pennebaker, Eric Horvitz
Computational Lens on Cognition: Study Of Autobiographical Versus Imagined Stories With Large-Scale Language Models. CoRR (2022)
Eric Horvitz
On the Horizon: Interactive and Compositional Deepfakes. ICMI (2022)
Eric Horvitz
On the Horizon: Interactive and Compositional Deepfakes. CoRR (2022)
Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang
Benchmarking Spatial Relationships in Text-to-Image Generation. CoRR (2022)
Tom Hope, Doug Downey, Oren Etzioni, Daniel S. Weld, Eric Horvitz
A Computational Inflection for Scientific Discovery. CoRR (2022)
Ya'akov (Kobi) Gal, Avi Segal, Ece Kamar, Eric Horvitz, Chris J. Lintott, Mike Walmsley
A new Workflow for Human-AI Collaboration in Citizen Science. GoodIT (2022)
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 (2021)
Jina Suh, Eric Horvitz, Ryen W. White, Tim Althoff
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications. WSDM (2021)
Eric Horvitz, John S. Breese
Ideal Partition of Resources for Metareasoning. CoRR (2021)
Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel S. Weld, Tom Hope
Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery. CoRR (2021)
Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. KDD (2021)
Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope
A Search Engine for Discovery of Biomedical Challenges and Directions. CoRR (2021)
Eric Horvitz, Jessica Young, Rama G. Elluru, Chuck Howell
Key Considerations for the Responsible Development and Fielding of Artificial Intelligence. CoRR (2021)
Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. CoRR (2021)
Uriel Singer, Kira Radinsky, Eric Horvitz
On biases of attention in scientific discovery. Bioinform. 36 (22-23) (2021)
Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
Understanding Failures of Deep Networks via Robust Feature Extraction. CVPR (2021)
Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel S. Weld, Roy Schwartz, Hannaneh Hajishirzi
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. NAACL-HLT (2021)
Maggie Makar, Lauren West, David Hooper, Eric Horvitz, Erica Shenoy, John V. Guttag
Exploiting structured data for learning contagious diseases under incomplete testing. ICML (2021)
Paul England, Henrique S. Malvar, Eric Horvitz, Jack W. Stokes, Cédric Fournet, Rebecca Burke-Aguero, Amaury Chamayou, Sylvan Clebsch, Manuel Costa, John Deutscher, Shabnam Erfani, Matt Gaylor, Andrew Jenks, Kevin Kane, Elissa M. Redmiles, Alex Shamis, Isha Sharma, John C. Simmons, Sam Wenker, Anika Zaman
AMP: authentication of media via provenance. MMSys (2021)
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) (2021)
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork. AAAI (2021)
Dan Bohus, Sean Andrist, Ashley Feniello, Nick Saw, Mihai Jalobeanu, Patrick Sweeney, Anne Loomis Thompson, Eric Horvitz
Platform for Situated Intelligence. CoRR (2021)
Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
Understanding Failures of Deep Networks via Robust Feature Extraction. CoRR (2020)
Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld
Optimizing AI for Teamwork. CoRR (2020)
Xiang Zhi Tan, Sean Andrist, Dan Bohus, Eric Horvitz
Now, Over Here: Leveraging Extended Attentional Capabilities in Human-Robot Interaction. HRI (Companion) (2020)
Dae Hyun Lee, Meliha Yetisgen, Lucy Vanderwende, Eric Horvitz
Predicting severe clinical events by learning about life-saving actions and outcomes using distant supervision. J. Biomed. Informatics 107 (2020)
Eric Horvitz, Tom M. Mitchell
From Data to Knowledge to Action: A Global Enabler for the 21st Century. CoRR (2020)
Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. CoRR (2020)
Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Ribeiro, Besmira Nushi, Ece Kamar
SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions. CoRR (2020)
Bryan Wilder, Eric Horvitz, Ece Kamar
Learning to Complement Humans. CoRR (2020)
Paul England, Henrique S. Malvar, Eric Horvitz, Jack W. Stokes, Cédric Fournet, Amaury Chamayou, Sylvan Clebsch, Manuel Costa, Shabnam Erfani, Kevin Kane, Alex Shamis
AMP: Authentication of Media via Provenance. CoRR (2020)
Jina Suh, Eric Horvitz, Ryen W. White, Tim Althoff
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications. CoRR (2020)
Justine Zhang, James W. Pennebaker, Susan T. Dumais, Eric Horvitz
Configuring Audiences: A Case Study of Email Communication. Proc. ACM Hum. Comput. Interact. 4 (CSCW) (2020)
Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti Hearst, Jevin West
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. EMNLP (Demos) (2020)
Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney, Eric Horvitz
Characterizing Search-Engine Traffic to Internet Research Agency Web Properties. WWW (2020)
Aida Amini, Tom Hope, David Wadden, Madeleine van Zuylen, Eric Horvitz, Roy Schwartz, Hannaneh Hajishirzi
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. CoRR (2020)
Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations. AAAI (2020)
Maarten Sap, Eric Horvitz, Yejin Choi, Noah A. Smith, James W. Pennebaker
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models. ACL (2020)
Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Túlio Ribeiro, Besmira Nushi, Ece Kamar
SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions. CVPR (2020)
Justin Chan, Dean P. Foster, Shyam Gollakota, Eric Horvitz, Joseph Jaeger, Sham M. Kakade, Tadayoshi Kohno, John Langford, Jonathan Larson, Sudheesh Singanamalla, Jacob E. Sunshine, Stefano Tessaro
PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing. CoRR (2020)
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah
Blind Spot Detection for Safe Sim-to-Real Transfer. J. Artif. Intell. Res. 67 (2020)
Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. CoRR (2020)
Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. KDD (2020)
Justin Chan, Landon P. Cox, Dean P. Foster, Shyam Gollakota, Eric Horvitz, Joseph Jaeger, Sham M. Kakade, Tadayoshi Kohno, John Langford, Jonathan Larson, Puneet Sharma, Sudheesh Singanamalla, Jacob E. Sunshine, Stefano Tessaro
PACT: Privacy-Sensitive Protocols And Mechanisms for Mobile Contact Tracing. IEEE Data Eng. Bull. 43 (2) (2020)
Bryan Wilder, Eric Horvitz, Ece Kamar
Learning to Complement Humans. IJCAI (2020)
Heba Aly, John Krumm, Gireeja Ranade, Eric Horvitz
Computing value of spatiotemporal information. Commun. ACM 63 (9) (2020)
John Krumm, Eric Horvitz
Traffic Updates: Saying a Lot While Revealing a Little. AAAI (2019)
Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon
Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting. DGS@ICLR (2019)
Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff. AAAI (2019)
Aditya Grover, Jiaming Song, Alekh Agarwal, Kenneth Tran, Ashish Kapoor, Eric Horvitz, Stefano Ermon
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting. CoRR (2019)
Saleema Amershi, Daniel S. Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi T. Iqbal, Paul N. Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, Eric Horvitz
Guidelines for Human-AI Interaction. CHI (2019)
Heba Aly, John Krumm, Gireeja Ranade, Eric Horvitz
To Buy or Not to Buy: Computing Value of Spatiotemporal Information. ACM Trans. Spatial Algorithms Syst. 5 (4) (2019)
Ryen W. White, Eric Horvitz
Population-scale hand tremor analysis via anonymized mouse cursor signals. npj Digit. Medicine 2 (2019)
Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey
Efficient Forward Architecture Search. CoRR (2019)
Chris Welty, Lora Aroyo, Eric Horvitz
The AI Bookie The Future of Voice Interfaces to Intelligent Assistants. AI Mag. 40 (1) (2019)
Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz
A Case for Backward Compatibility for Human-AI Teams. CoRR (2019)
Gagan Bansal, Besmira Nushi, Ece Kamar, Walter S. Lasecki, Daniel S. Weld, Eric Horvitz
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance. HCOMP (2019)
Robert West, Eric Horvitz
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted despite Making Serious Advances". AAAI (2019)
Andrey Kolobov, Yuval Peres, Cheng Lu, Eric Horvitz
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling. NeurIPS (2019)
Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting. NeurIPS (2019)
Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. AAAI (2019)
Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey
Efficient Forward Architecture Search. NeurIPS (2019)
Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations. CoRR (2019)
Andrey Kolobov, Yuval Peres, Eyal Lubetzky, Eric Horvitz
Optimal Freshness Crawl Under Politeness Constraints. SIGIR (2019)
Galia Nordon, Gideon Koren, Varda Shalev, Eric Horvitz, Kira Radinsky
Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications. AAAI (2019)
Robert West, Eric Horvitz
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted Despite Making Serious Advances". CoRR (2019)
Tim Althoff, Eric Horvitz, Ryen W. White
Psychomotor function measured via online activity predicts motor vehicle fatality risk. npj Digit. Medicine 1 (2018)
Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney, Eric Horvitz
Analysis of Strategy and Spread of Russia-sponsored Content in the US in 2017. CoRR (2018)
Heba Aly, John Krumm, Gireeja Ranade, Eric Horvitz
On the value of spatiotemporal information: principles and scenarios. SIGSPATIAL/GIS (2018)
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz
Discovering Blind Spots in Reinforcement Learning. CoRR (2018)
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz
Discovering Blind Spots in Reinforcement Learning. AAMAS (2018)
Yossi Azar, Eric Horvitz, Eyal Lubetzky, Yuval Peres, Dafna Shahaf
Tractable near-optimal policies for crawling. Proc. Natl. Acad. Sci. USA 115 (32) (2018)
Besmira Nushi, Ece Kamar, Eric Horvitz
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. HCOMP (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Eric Horvitz