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ORCIDEric Horvitz
Eric Joel Horvitz
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- affiliation: Microsoft Research, Redmond, WA, USA
- award (2015): ACM - AAAI Allen Newell Award
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2020 – today
- 2024
[j72]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): 39-40 (2024)- [j71]Abigail Sellen, Eric Horvitz:
The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyond. Commun. ACM 67(7): 18-23 (2024) - [j70]Katelyn Morrison, Shamsi T. Iqbal, Eric Horvitz:
AI-Powered Reminders for Collaborative Tasks: Experiences and Futures. Proc. ACM Hum. Comput. Interact. 8(CSCW1): 1-20 (2024) - [c262]Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz:
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. AAAI 2024: 10137-10144 - [c261]Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz:
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. CHI 2024: 142:1-142:16 - [c260]Dan Bohus, Sean Andrist, Yuwei Bao, Eric Horvitz, Ann Paradiso:
"Is This It?": Towards Ecologically Valid Benchmarks for Situated Collaboration. ICMI Companion 2024: 41-45 - [i98]Katelyn Morrison, Shamsi T. Iqbal, Eric Horvitz:
AI-Powered Reminders for Collaborative Tasks: Experiences and Futures. CoRR abs/2403.01365 (2024) - [i97]Eric Horvitz, Vincent Conitzer, Sheila A. McIlraith, Peter Stone:
Now, Later, and Lasting: Ten Priorities for AI Research, Policy, and Practice. CoRR abs/2404.04750 (2024) - [i96]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 abs/2406.06573 (2024) - [i95]Dan Bohus, Sean Andrist, Yuwei Bao, Eric Horvitz, Ann Paradiso:
"Is This It?": Towards Ecologically Valid Benchmarks for Situated Collaboration. CoRR abs/2409.10525 (2024) - [i94]Charlotte Bunne, Yusuf Roohani, Yanay Rosen, Ankit Gupta, Xikun Zhang, Marcel Roed, Theo Alexandrov, Mohammed AlQuraishi, Patricia Brennan, Daniel B. Burkhardt, Andrea Califano, Jonah Cool, Abby F. Dernburg, Kirsty Ewing, Emily B. Fox, Matthias Haury, Amy E. Herr, Eric Horvitz, Patrick D. Hsu, Viren Jain, Gregory R. Johnson, Thomas Kalil, David R. Kelley, Shana O. Kelley, Anna Kreshuk, Tim Mitchison, Stephani Otte, Jay Shendure, Nicolas J. Sofroniew, Fabian J. Theis, Christina V. Theodoris, Srigokul Upadhyayula, Marc Valer, Bo Wang, Eric Xing, Serena Yeung-Levy, Marinka Zitnik, Theofanis Karaletsos, Aviv Regev, Emma Lundberg, Jure Leskovec, Stephen R. Quake:
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities. CoRR abs/2409.11654 (2024) - [i93]Santiago Cortes-Gomez, Carlos Miguel Patiño, Yewon Byun, Steven Wu, Eric Horvitz, Bryan Wilder:
Decision-Focused Uncertainty Quantification. CoRR abs/2410.01767 (2024) - [i92]Alessandro Stolfo, Vidhisha Balachandran, Safoora Yousefi, Eric Horvitz, Besmira Nushi:
Improving Instruction-Following in Language Models through Activation Steering. CoRR abs/2410.12877 (2024) - 2023
- [j69]Tom Hope, Doug Downey, Daniel S. Weld, Oren Etzioni, Eric Horvitz:
A Computational Inflection for Scientific Discovery. Commun. ACM 66(8): 62-73 (2023) - [c259]Michael Poli, Stefano Massaroli, Stefano Ermon, Bryan Wilder, Eric Horvitz:
Ideal Abstractions for Decision-Focused Learning. AISTATS 2023: 10223-10234 - [i91]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 abs/2303.12712 (2023) - [i90]Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, Eric Horvitz:
Capabilities of GPT-4 on Medical Challenge Problems. CoRR abs/2303.13375 (2023) - [i89]Michael Poli, Stefano Massaroli, Stefano Ermon, Bryan Wilder, Eric Horvitz:
Ideal Abstractions for Decision-Focused Learning. CoRR abs/2303.17062 (2023) - [i88]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 abs/2304.13714 (2023) - [i87]Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz:
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming. CoRR abs/2306.04930 (2023) - [i86]Serina Chang, Adam Fourney, Eric Horvitz:
Accurate Measures of Vaccination and Concerns of Vaccine Holdouts from Web Search Logs. CoRR abs/2306.07457 (2023) - [i85]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 abs/2307.03718 (2023) - [i84]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) - [i83]Abigail Sellen, Eric Horvitz:
The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyond. CoRR abs/2311.14713 (2023) - [i82]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, Christopher M. White, Eric Horvitz:
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. CoRR abs/2311.16452 (2023) - 2022
- [j68]Shunit Agmon, Plia Gillis, Eric Horvitz, Kira Radinsky:
Gender-sensitive word embeddings for healthcare. J. Am. Medical Informatics Assoc. 29(3): 415-423 (2022) - [c258]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: 11982-11990 - [c257]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: 309:1-309:13 - [c256]Riccardo Fogliato, Shreya Chappidi, Matthew P. 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: 1362-1374 - [c255]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: 89-95 - [c254]Dan Bohus, Sean Andrist, Ashley Feniello, Nick Saw, Eric Horvitz:
Continual Learning about Objects in the Wild: An Interactive Approach. ICMI 2022: 476-486 - [c253]Eric Horvitz:
On the Horizon: Interactive and Compositional Deepfakes. ICMI 2022: 653-661 - [i81]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 abs/2201.02662 (2022) - [i80]Tom Hope, Doug Downey, Oren Etzioni, Daniel S. Weld, Eric Horvitz:
A Computational Inflection for Scientific Discovery. CoRR abs/2205.02007 (2022) - [i79]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 abs/2205.09696 (2022) - [i78]Eric Horvitz:
On the Horizon: Interactive and Compositional Deepfakes. CoRR abs/2209.01714 (2022) - [i77]Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz:
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming. CoRR abs/2210.14306 (2022) - [i76]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 abs/2212.10015 (2022) - 2021
- [j67]Uriel Singer, Kira Radinsky, Eric Horvitz:
On biases of attention in scientific discovery. Bioinform. 36(22-23): 5269-5274 (2021) - [j66]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) - [c252]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: 11405-11414 - [c251]Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz:
Understanding Failures of Deep Networks via Robust Feature Extraction. CVPR 2021: 12853-12862 - [c250]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: 7348-7357 - [c249]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: 3717-3725 - [c248]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: 108-121 - [c247]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: 4489-4503 - [c246]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: 4-12 - [i75]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) - [i74]Dan Bohus, Sean Andrist, Ashley Feniello, Nick Saw, Mihai Jalobeanu, Patrick Sweeney, Anne Loomis Thompson, Eric Horvitz:
Platform for Situated Intelligence. CoRR abs/2103.15975 (2021) - [i73]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 abs/2106.13375 (2021) - [i72]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 abs/2108.05669 (2021) - [i71]Eric Horvitz, Jessica Young, Rama G. Elluru, Chuck Howell:
Key Considerations for the Responsible Development and Fielding of Artificial Intelligence. CoRR abs/2108.12289 (2021) - [i70]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 abs/2108.13751 (2021) - [i69]Eric Horvitz, John S. Breese:
Ideal Partition of Resources for Metareasoning. CoRR abs/2110.09624 (2021) - 2020
- [j65]Heba Aly, John Krumm, Gireeja Ranade, Eric Horvitz:
Computing value of spatiotemporal information. Commun. ACM 63(9): 85-92 (2020) - [j64]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): 15-35 (2020) - [j63]Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah:
Blind Spot Detection for Safe Sim-to-Real Transfer. J. Artif. Intell. Res. 67: 191-234 (2020) - [j62]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: 103425 (2020) - [j61]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): 062:1-062:26 (2020) - [c245]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: 5207-5215 - [c244]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: 1970-1978 - [c243]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: 10000-10008 - [c242]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. EMNLP (Demos) 2020: 135-143 - [c241]Xiang Zhi Tan, Sean Andrist, Dan Bohus, Eric Horvitz:
Now, Over Here: Leveraging Extended Attentional Capabilities in Human-Robot Interaction. HRI (Companion) 2020: 468-470 - [c240]Bryan Wilder, Eric Horvitz, Ece Kamar:
Learning to Complement Humans. IJCAI 2020: 1526-1533 - [c239]Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz:
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. KDD 2020: 3272-3280 - [c238]Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney, Eric Horvitz:
Characterizing Search-Engine Traffic to Internet Research Agency Web Properties. WWW 2020: 2253-2263 - [i68]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 abs/2001.06927 (2020) - [i67]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 abs/2001.07886 (2020) - [i66]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 abs/2004.03544 (2020) - [i65]Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld:
Optimizing AI for Teamwork. CoRR abs/2004.13102 (2020) - [i64]Bryan Wilder, Eric Horvitz, Ece Kamar:
Learning to Complement Humans. CoRR abs/2005.00582 (2020) - [i63]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 abs/2005.12668 (2020) - [i62]Eric Horvitz, Tom M. Mitchell:
From Data to Knowledge to Action: A Global Enabler for the 21st Century. CoRR abs/2008.00045 (2020) - [i61]Megha Srivastava, Besmira Nushi, Ece Kamar, Shital Shah, Eric Horvitz:
An Empirical Analysis of Backward Compatibility in Machine Learning Systems. CoRR abs/2008.04572 (2020) - [i60]Jina Suh, Eric Horvitz, Ryen W. White, Tim Althoff:
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications. CoRR abs/2008.07045 (2020) - [i59]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 abs/2010.03824 (2020) - [i58]Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz:
Understanding Failures of Deep Networks via Robust Feature Extraction. CoRR abs/2012.01750 (2020)
2010 – 2019
- 2019
- [j60]Chris Welty, Lora Aroyo, Eric Horvitz:
The AI Bookie The Future of Voice Interfaces to Intelligent Assistants. AI Mag. 40(1): 79-82 (2019) - [j59]Ryen W. White, Eric Horvitz:
Population-scale hand tremor analysis via anonymized mouse cursor signals. npj Digit. Medicine 2 (2019) - [j58]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): 22:1-22:25 (2019) - [c237]John Krumm, Eric Horvitz:
Traffic Updates: Saying a Lot While Revealing a Little. AAAI 2019: 986-995 - [c236]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: 2429-2437 - [c235]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: 6137-6145 - [c234]Robert West, Eric Horvitz:
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted despite Making Serious Advances". AAAI 2019: 7265-7272 - [c233]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: 9565-9572 - [c232]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: 3 - [c231]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: 2-11 - [c230]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 - [c229]Andrey Kolobov, Yuval Peres, Cheng Lu, Eric Horvitz:
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling. NeurIPS 2019: 579-589 - [c228]Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey:
Efficient Forward Architecture Search. NeurIPS 2019: 10122-10131 - [c227]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: 11056-11068 - [c226]Andrey Kolobov, Yuval Peres, Eyal Lubetzky, Eric Horvitz:
Optimal Freshness Crawl Under Politeness Constraints. SIGIR 2019: 495-504 - [p2]Dan Bohus, Eric Horvitz:
Situated interaction. The Handbook of Multimodal-Multisensor Interfaces, Volume 3 (3) 2019 - [i57]Robert West, Eric Horvitz:
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted Despite Making Serious Advances". CoRR abs/1901.03253 (2019) - [i56]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 abs/1905.05179 (2019) - [i55]Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey:
Efficient Forward Architecture Search. CoRR abs/1905.13360 (2019) - [i54]Gagan Bansal, Besmira Nushi, Ece Kamar, Daniel S. Weld, Walter S. Lasecki, Eric Horvitz:
A Case for Backward Compatibility for Human-AI Teams. CoRR abs/1906.01148 (2019) - [i53]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 abs/1906.09531 (2019) - 2018
- [j57]Tim Althoff, Eric Horvitz, Ryen W. White:
Psychomotor function measured via online activity predicts motor vehicle fatality risk. npj Digit. Medicine 1 (2018) - [j56]Ryen W. White, P. Murali Doraiswamy, Eric Horvitz:
Detecting neurodegenerative disorders from web search signals. npj Digit. Medicine 1 (2018) - [j55]Yossi Azar, Eric Horvitz, Eyal Lubetzky, Yuval Peres, Dafna Shahaf:
Tractable near-optimal policies for crawling. Proc. Natl. Acad. Sci. USA 115(32): 8099-8103 (2018) - [c225]Avi Segal, Kobi Gal, Ece Kamar, Eric Horvitz, Grant Miller:
Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science. AAAI 2018: 1536-1544 - [c224]Dae Hyun Lee, Meliha Yetisgen, Eric Horvitz:
Learning about Life-Saving Interventions to Predict the Risk of Acute Organ Failures. AMIA 2018 - [c223]Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz:
Discovering Blind Spots in Reinforcement Learning. AAMAS 2018: 1017-1025 - [c222]Heba Aly, John Krumm, Gireeja Ranade, Eric Horvitz:
On the value of spatiotemporal information: principles and scenarios. SIGSPATIAL/GIS 2018: 179-188 - [c221]Besmira Nushi, Ece Kamar, Eric Horvitz:
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. HCOMP 2018: 126-135 - [i52]Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz:
Discovering Blind Spots in Reinforcement Learning. CoRR abs/1805.08966 (2018) - [i51]Besmira Nushi, Ece Kamar, Eric Horvitz:
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure. CoRR abs/1809.07424 (2018) - [i50]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 abs/1810.10033 (2018) - 2017
- [j54]Rave Harpaz, William DuMouchel, Martijn J. Schuemie, Olivier Bodenreider, Carol Friedman, Eric Horvitz, Anna Ripple, Alfred Sorbello, Ryen W. White, Rainer Winnenburg, Nigam H. Shah:
Toward multimodal signal detection of adverse drug reactions. J. Biomed. Informatics 76: 41-49 (2017) - [j53]Jaime Teevan, Susan T. Dumais, Eric Horvitz:
Personalizing Search via Automated Analysis of Interests and Activities. SIGIR Forum 51(3): 10-17 (2017) - [c220]Ethan Fast, Eric Horvitz:
Long-Term Trends in the Public Perception of Artificial Intelligence. AAAI 2017: 963-969 - [c219]Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann:
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems. AAAI 2017: 1017-1025 - [c218]Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz:
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration. AAAI 2017: 2124-2132 - [c217]