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25 Results
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Workshop
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Sat 15:45 |
Predictive Inference in Multi-environment Scenarios John Duchi · Suyash Gupta · Kuanhao Jiang · Pragya Sur |
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Workshop
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Sat 12:00 |
Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction Drew Nguyen · Reese Pathak · Anastasios Angelopoulos · Stephen Bates · Michael Jordan |
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Poster
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On Differentially Private Subspace Estimation in a Distribution-Free Setting Eliad Tsfadia |
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Workshop
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In-distribution adversarial attacks on object recognition models using gradient-free search. Spandan Madan · Tomotake Sasaki · Tzu-Mao Li · Hanspeter Pfister · Xavier Boix |
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Workshop
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Eagle: Efficient Training-Free Router for Multi-LLM Inference Zesen Zhao · Shuowei Jin · Zhuoqing Morley Mao |
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Poster
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Thu 16:30 |
Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization Ilya Kuruzov · Gesualdo Scutari · Alexander Gasnikov |
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Poster
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Fri 16:30 |
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention Tianyi Zhang · Jonah Yi · Bowen Yao · Zhaozhuo Xu · Anshumali Shrivastava |
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Workshop
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Variational Search Distributions Daniel Steinberg · Rafael Oliveira · Cheng Soon Ong · Edwin Bonilla |
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Poster
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Wed 16:30 |
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting Xingyu Zhu · Beier Zhu · Yi Tan · Shuo Wang · Yanbin Hao · Hanwang Zhang |
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Competition
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Sat 9:05 |
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference Ann Lee |
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Workshop
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Brain in the Dark: Design Principles for Neuromimetic Inference under the Free Energy Principle Mehran Hossein Zadeh Bazargani · Szymon Urbas · Karl Friston |
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Poster
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Thu 16:30 |
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs Saleh Ashkboos · Amirkeivan Mohtashami · Maximilian Croci · Bo Li · Pashmina Cameron · Martin Jaggi · Dan Alistarh · Torsten Hoefler · James Hensman |