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- Michael A. Bender
aka: Michael Bender 0001
Stony Brook University, NY, USA
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Publication search results
found 366 matches
- 2024
- Michael A. Forbes, Mitchell G. Harris, H. M. Jansen, Femke A. Van Der Schoot, Thomas Taimre:
Combining optimisation and simulation using logic-based Benders decomposition. Eur. J. Oper. Res. 312(3): 840-854 (2024) - Moritz Bender, Andreas Escher, Barbara Messner, Michael Röhrich, Michael B. Fischer, Christoph Hametner, Günther Laufer, Ulrich Kertzscher, Daniel Zimpfer, Stefan Jakubek, Marcus Granegger:
An Atraumatic Mock Loop for Realistic Hemocompatibility Assessment of Blood Pumps. IEEE Trans. Biomed. Eng. 71(5): 1651-1662 (2024) - Michael A. Bender, Martín Farach-Colton, John Kuszmaul, William Kuszmaul:
Modern Hashing Made Simple. SOSA 2024: 363-373 - Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
PRewrite: Prompt Rewriting with Reinforcement Learning. CoRR abs/2401.08189 (2024) - Alex Conway, Ainesh Bakshi, Arghya Bhattacharya, Rory Bennett, Yizheng Jiao, Eric Knorr, Yang Zhan, Michael A. Bender, William Jannen, Rob Johnson, Bradley C. Kuszmaul, Donald E. Porter, Jun Yuan, Martin Farach-Colton:
File System Aging. CoRR abs/2401.08858 (2024) - Tao Chen, Siqi Zuo, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
Unlocking the 'Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience. CoRR abs/2402.13417 (2024) - Hagit Attiya, Michael A. Bender, Martin Farach-Colton, Rotem Oshman, Noa Schiller:
History-Independent Concurrent Objects. CoRR abs/2403.14445 (2024) - 2023
- Eyal Brill, Michael Bendersky:
A Graphical Calibration Method for a Water Quality Model Considering Process Variability Versus Delay Time: Theory and a Case Study. Comput. 11(10): 200 (2023) - Mitchell G. Harris, Michael A. Forbes, Thomas Taimre:
Logic-based benders decomposition for wildfire suppression. Comput. Oper. Res. 160: 106392 (2023) - Michael A. Bender, Alex Conway, Martin Farach-Colton, William Kuszmaul, Guido Tagliavini:
Iceberg Hashing: Optimizing Many Hash-Table Criteria at Once. J. ACM 70(6): 40:1-40:51 (2023) - Prashant Pandey, Michael A. Bender, Alex Conway, Martin Farach-Colton, William Kuszmaul, Guido Tagliavini, Rob Johnson:
IcebergHT: High Performance Hash Tables Through Stability and Low Associativity. Proc. ACM Manag. Data 1(1): 47:1-47:26 (2023) - Chantal Soyka, Niclas Schaper, Elena Bender, Michael Striewe, Meike Ullrich:
Toward a Competence Model for Graphical Modeling. ACM Trans. Comput. Educ. 23(1): 15:1-15:30 (2023) - Krishnan Gosakan, Jaehyun Han, William Kuszmaul, Ibrahim N. Mubarek, Nirjhar Mukherjee, Karthik Sriram, Guido Tagliavini, Evan West, Michael A. Bender, Abhishek Bhattacharjee, Alex Conway, Martin Farach-Colton, Jayneel Gandhi, Rob Johnson, Sudarsun Kannan, Donald E. Porter:
Mosaic Pages: Big TLB Reach with Small Pages. ASPLOS (3) 2023: 433-448 - Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork:
Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. CIKM 2023: 4502-4508 - Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork:
Exploring the Viability of Synthetic Query Generation for Relevance Prediction. eCom@SIGIR 2023 - Kunal Agrawal, Sanjoy K. Baruah, Michael A. Bender, Alberto Marchetti-Spaccamela:
The Safe and Effective Use of Low-Assurance Predictions in Safety-Critical Systems. ECRTS 2023: 3:1-3:19 - Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork, Matt Colen, Sergey Levi, Vladimir Ofitserov, Tanvir Amin:
Creator Context for Tweet Recommendation. EMNLP (Industry Track) 2023: 353-363 - Qingyao Ai, Xuanhui Wang, Michael Bendersky:
Metric-agnostic Ranking Optimization. SIGIR 2023: 2669-2680 - Michael A. Bender, Alex Conway, Martin Farach-Colton, William Kuszmaul, Guido Tagliavini:
Tiny Pointers. SODA 2023: 477-508 - Michael A. Bender, Rathish Das, Martin Farach-Colton, Guido Tagliavini:
An Associativity Threshold Phenomenon in Set-Associative Caches. SPAA 2023: 117-127 - Michael A. Bender, Daniel DeLayo, Bradley C. Kuszmaul, William Kuszmaul, Evan West:
Increment - and - Freeze: Every Cache, Everywhere, All of the Time. SPAA 2023: 129-139 - Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky:
What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis. WWW (Companion Volume) 2023: 107-110 - Michael A. Bender, Jeremy T. Fineman, Seth Gilbert, John Kuszmaul, Maxwell Young:
Robust and Listening-Efficient Contention Resolution. CoRR abs/2302.07751 (2023) - Michael A. Bender, Rathish Das, Martin Farach-Colton, Guido Tagliavini:
An Associativity Threshold Phenomenon in Set-Associative Caches. CoRR abs/2304.04954 (2023) - Qingyao Ai, Xuanhui Wang, Michael Bendersky:
Metric-agnostic Ranking Optimization. CoRR abs/2304.08062 (2023) - Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani:
LaMP: When Large Language Models Meet Personalization. CoRR abs/2304.11406 (2023) - Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork:
Exploring the Viability of Synthetic Query Generation for Relevance Prediction. CoRR abs/2305.11944 (2023) - Cheng Li, Mingyang Zhang, Qiaozhu Mei, Yaqing Wang, Spurthi Amba Hombaiah, Yi Liang, Michael Bendersky:
Teach LLMs to Personalize - An Approach inspired by Writing Education. CoRR abs/2308.07968 (2023) - Lingyu Gao, Aditi Chaudhary, Krishna Srinivasan, Kazuma Hashimoto, Karthik Raman, Michael Bendersky:
Ambiguity-Aware In-Context Learning with Large Language Models. CoRR abs/2309.07900 (2023) - Aditi Chaudhary, Karthik Raman, Michael Bendersky:
It's All Relative! - A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction. CoRR abs/2311.07930 (2023)
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