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208 Results
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Workshop
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Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions Skyler Wu · Eric Shen · Charumathi Badrinath · Jiaqi Ma · Himabindu Lakkaraju |
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Workshop
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Fri 14:30 |
Probabilistic Global Robustness Verification of Arbitrary Supervised Machine Learning Models Max-Lion Schumacher · Marco Huber |
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Poster
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Wed 17:00 |
Effectively Using Public Data in Privacy Preserving Machine Learning Milad Nasresfahani · Saeed Mahloujifar · Xinyu Tang · Prateek Mittal · Amir Houmansadr |
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Poster
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Tue 17:00 |
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning Christopher Choquette-Choo · Hugh B McMahan · J K Rush · Abhradeep Guha Thakurta |
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Poster
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Wed 17:00 |
Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions Alicia Curth · Alihan Hüyük · Mihaela van der Schaar |
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Poster
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Tue 17:00 |
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning Yuxin Tang · Zhimin Ding · Dimitrije Jankov · Binhang Yuan · Daniel Bourgeois · Chris Jermaine |
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Oral
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Wed 20:12 |
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning Christopher Choquette-Choo · Hugh B McMahan · J K Rush · Abhradeep Guha Thakurta |
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Workshop
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Sat 12:00 |
Duality Principles for Modern Machine Learning Thomas Moellenhoff · Zelda Mariet · Mathieu Blondel · Khan Emtiyaz |
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Poster
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Tue 17:00 |
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems Chawin Sitawarin · Florian Tramer · Nicholas Carlini |
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Poster
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Tue 14:00 |
Inflow, Outflow, and Reciprocity in Machine Learning Mukund Sundararajan · Walid Krichene |
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Workshop
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An interpretable data augmentation framework for improving generative modeling of synthetic clinical trial data Afrah Shafquat · Mandis Beigi · Chufan Gao · Jason Mezey · Jimeng Sun · Jacob Aptekar |
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Oral
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Wed 19:48 |
Inflow, Outflow, and Reciprocity in Machine Learning Mukund Sundararajan · Walid Krichene |