Poster
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Wed 14:00
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Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
Chunyu Wei · Jian Liang · Di Liu · Fei Wang
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Poster
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Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
Vudtiwat Ngampruetikorn · David Schwab
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Poster
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Wed 14:00
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Efficient coding, channel capacity, and the emergence of retinal mosaics
Na Young Jun · Greg Field · John Pearson
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Poster
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Tue 9:00
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Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning
Dilip Arumugam · Benjamin Van Roy
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Poster
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Thu 14:00
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A New Family of Generalization Bounds Using Samplewise Evaluated CMI
Fredrik Hellström · Giuseppe Durisi
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Poster
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Wed 14:00
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An Information-Theoretic Framework for Deep Learning
Hong Jun Jeon · Benjamin Van Roy
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Workshop
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Information Bottleneck for Multi-Task LSTMs
Bradley Baker · Noah Lewis · Debbrata Kumar Saha · Md Abdur Rahaman · Sergey Plis · Vince Calhoun
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Poster
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Wed 9:00
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On the Epistemic Limits of Personalized Prediction
Lucas Monteiro Paes · Carol Long · Berk Ustun · Flavio Calmon
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Workshop
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Sat 6:30
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Contributed talk: Kieran Murphy, "Characterizing information loss in a chaotic double pendulum with the Information Bottleneck"
Kieran Murphy · Siddharth Mishra-Sharma
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Poster
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Thu 9:00
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Whitening Convergence Rate of Coupling-based Normalizing Flows
Felix Draxler · Christoph Schnörr · Ullrich Köthe
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Workshop
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Sat 8:30
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Information theory, learning, & hyperbolic geometry in neural representations in the hippocampus
Tatyana Sharpee
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Workshop
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A (dis-)information theory of revealed and unrevealed preferences
Nitay Alon · Lion Schulz · Peter Dayan · Jeffrey S Rosenschein
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