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159 Results
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Workshop
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Knowledge-Guided Additive Modeling For Supervised Regression Yann Claes · Van Anh Huynh-Thu · Pierre Geurts |
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Poster
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Tue 17:00 |
Private Federated Learning with Autotuned Compression Enayat Ullah · Christopher Choquette-Choo · Peter Kairouz · Sewoong Oh |
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Poster
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Tue 14:00 |
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning Edwige Cyffers · Aurélien Bellet · Debabrota Basu |
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Workshop
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Flow Matching for Scalable Simulation-Based Inference Jonas Wildberger · Maximilian Dax · Simon Buchholz · Stephen R. Green · Jakob Macke · Bernhard Schölkopf |
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Poster
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Tue 14:00 |
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language Philipp Seidl · Andreu Vall · Sepp Hochreiter · Günter Klambauer |
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Workshop
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The Matrix Reloaded: A Counterfactual Perspective on Bias in Machine Learning Andre Carreiro · Mariana Pinto · Pedro Madeira · Alberto Lopez · Hugo Gamboa |
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Poster
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Thu 13:30 |
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning Tomoya Murata · Taiji Suzuki |
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Workshop
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Sat 12:00 |
DMLR Workshop: Data-centric Machine Learning Research Ce Zhang · Praveen Paritosh · Newsha Ardalani · Nezihe Merve Gürel · William Gaviria Rojas · Yang Liu · Rotem Dror · Manil Maskey · Lilith Bat-Leah · Tzu-Sheng Kuo · Luis Oala · Max Bartolo · Ludwig Schmidt · Alicia Parrish · Daniel Kondermann · Najoung Kim |
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Workshop
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Adverse event prediction using a task-specific generative model Otto Lönnroth · Siddharth Ramchandran · Pekka Tiikkainen · Mine Öğretir · Jussi Leinonen · Harri Lähdesmäki |
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Workshop
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Internet Learning: Preliminary Steps Towards Highly Fault-Tolerant Learning on Device Networks Surojit Ganguli · Avi Amalanshu · Amritanshu Ranjan · David I. Inouye |
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Workshop
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Can Public Large Language Models Help Private Cross-device Federated Learning? Boxin Wang · Yibo J. Zhang · Yuan Cao · Bo Li · Hugh B McMahan · Sewoong Oh · Zheng Xu · Manzil Zaheer |
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Workshop
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Population Expansion for Training Language Models with Private Federated Learning Tatsuki Koga · Congzheng Song · Martin Pelikan · Mona Chitnis |