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Poster
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Wed 14:00
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Learning Tractable Probabilistic Models from Inconsistent Local Estimates
Shasha Jin · Vasundhara Komaragiri · Tahrima Rahman · Vibhav Gogate
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Poster
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Wed 9:00
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Masked Prediction: A Parameter Identifiability View
Bingbin Liu · Daniel Hsu · Pradeep Ravikumar · Andrej Risteski
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Poster
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Concentration of Data Encoding in Parameterized Quantum Circuits
Guangxi Li · Ruilin Ye · Xuanqiang Zhao · Xin Wang
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Poster
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Tue 14:00
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Finite Sample Analysis Of Dynamic Regression Parameter Learning
Mark Kozdoba · Edward Moroshko · Shie Mannor · Yacov Crammer
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Poster
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Tue 14:00
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Merging Models with Fisher-Weighted Averaging
Michael S Matena · Colin Raffel
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Workshop
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LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
Yi-Lin Sung · Jaemin Cho · Mohit Bansal
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Poster
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Thu 9:00
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On global convergence of ResNets: From finite to infinite width using linear parameterization
Raphaël Barboni · Gabriel Peyré · Francois-Xavier Vialard
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Poster
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Wed 9:00
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Beyond black box densities: Parameter learning for the deviated components
Dat Do · Nhat Ho · XuanLong Nguyen
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Poster
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Tue 9:00
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PaCo: Parameter-Compositional Multi-task Reinforcement Learning
Lingfeng Sun · Haichao Zhang · Wei Xu · Masayoshi TOMIZUKA
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Poster
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Tue 14:00
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Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu · Derek Tam · Mohammed Muqeeth · Jay Mohta · Tenghao Huang · Mohit Bansal · Colin Raffel
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Poster
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Tue 14:00
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LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
Yi-Lin Sung · Jaemin Cho · Mohit Bansal
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Poster
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How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents
Yoav Kolumbus · Noam Nisan
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