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Poster
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Wed 17:00
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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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Thu 16:30
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Algorithmic Collective Action in Machine Learning
Moritz Hardt · Eric Mazumdar · Celestine Mendler-Dünner · Tijana Zrnic
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Workshop
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Neural Modulation Fields for Conditional Cone Beam Neural Tomography
Samuele Papa · David Knigge · Riccardo Valperga · Nikita Moriakov · Miltiadis (Miltos) Kofinas · Jan-jakob Sonke · Efstratios Gavves
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Workshop
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Fri 12:00
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2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML)
Tegan Emerson · Henry Kvinge · Tim Doster · Bastian Rieck · Sophia Sanborn · Nina Miolane · Mathilde Papillon
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Poster
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Tue 17:00
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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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Oral
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Wed 19:48
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Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan · Walid Krichene
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Poster
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Tue 17:00
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Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
Baoluo Sun · Yifan Cui · Eric Tchetgen Tchetgen
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Affinity Workshop
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Mon 19:15
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Convolutional neural network regression to estimate the mass parameter of astrophysical binary black hole systems
Andres Antelis · Claudia Moreno
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Poster
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Thu 16:30
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The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
Xavier Garcia · Yamini Bansal · Colin Cherry · George Foster · Maxim Krikun · Melvin Johnson · Orhan Firat
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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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Workshop
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Is Task-Agnostic Explainable AI a Myth?
Alicja Chaszczewicz
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Workshop
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Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage
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