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Affinity Event
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Heart Disease Prediction: A Comparative Study of Optimizers Performance in Deep Neural Networks.
chisom chibuike · Adeyinka Ogunsanya
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Workshop
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CubicML: Automated ML for Large ML Systems Co-design with ML Prediction of Performance
WEI WEN · Quanyu Zhu · Weiwei Chu · Wen-Yen Chen · Jiyan Yang
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Workshop
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Sun 16:30
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Is Expressivity Essential for the Predictive Performance of Graph Neural Networks?
Fabian Jogl · Pascal Welke · Thomas Gärtner
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Workshop
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Accelerated Stability in Performative Prediction
Pedram Khorsandi · Rushil Gupta · Mehrnaz Mofakhami · Simon Lacoste-Julien · Gauthier Gidel
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Workshop
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Auxiliary objectives improve generalization performance but reduce model specification for low-data neuroimaging-based brain age prediction
Donghyun Kim · Eloy Geenjaar · Vince Calhoun
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Poster
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Thu 16:30
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Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss
Qiang LI · Hoi-To Wai
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Poster
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Fri 16:30
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Scalable Early Childhood Reading Performance Prediction
Zhongkai Shangguan · Zanming Huang · Eshed Ohn-Bar · Ola Ozernov-Palchik · Derek Kosty · Michael Stoolmiller · Hank Fien
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Poster
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Fri 16:30
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Distributionally Robust Performative Prediction
Songkai Xue · Yuekai Sun
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Poster
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Wed 16:30
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Predicting the Performance of Foundation Models via Agreement-on-the-Line
Rahul Saxena · Taeyoun Kim · Aman Mehra · Christina Baek · J. Zico Kolter · Aditi Raghunathan
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Poster
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Fri 11:00
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Observational Scaling Laws and the Predictability of Langauge Model Performance
Yangjun Ruan · Chris Maddison · Tatsunori Hashimoto
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Workshop
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Pretraining Frequency Predicts Compositional Generalization of CLIP on Real-World Tasks
Thaddäus Wiedemer · Yash Sharma · Ameya Prabhu · Matthias Bethge · Wieland Brendel
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