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Poster
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Thu 11:00
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Generalization Bounds via Conditional f-Information
Ziqiao Wang · Yongyi Mao
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Poster
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Wed 11:00
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Information-theoretic Generalization Analysis for Expected Calibration Error
Futoshi Futami · Masahiro Fujisawa
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Poster
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Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions
Chaitanya Goswami · Amanda Merkley
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Workshop
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A Simplified A Priori Theory Of Meaning, –Nature based AI ‘first principles’–
Marcus Abundis
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Workshop
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Information-Theoretic Generalization Bounds for Batch Reinforcement Learning
Xingtu Liu
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Workshop
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Sat 11:20
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Harmformer: Harmonic Networks Meet Transformers for Continuous Roto-Translation Equivariance
Tomáš Karella
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Workshop
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Sat 13:00
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Narrative Information Theory
Lion Schulz · Miguel Patrício · Daan Odijk
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Poster
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Wed 16:30
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Reinforcement Learning with Lookahead Information
Nadav Merlis
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Poster
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Thu 11:00
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Trade-Offs of Diagonal Fisher Information Matrix Estimators
Alexander Soen · Ke Sun
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Poster
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Thu 16:30
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Information-theoretic Limits of Online Classification with Noisy Labels
Changlong Wu · Ananth Grama · Wojciech Szpankowski
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Workshop
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Information-Theoretic Foundations for Neural Scaling Laws
Hong Jun Jeon · Benjamin Van Roy
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Workshop
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An Information Theory of Compute-Optimal Size Scaling, Emergence, and Plateaus in Language Models
Anuj Keshava Nayak · Lav Varshney
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