Reproduction: What Makes a Strong Model? A Unified Spectral Analysis of Knowledge Transfer over High-dimensional Linear Regression
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Hong Seong Pyo
SabaPivot
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Reproduction: Tight Stability Bounds for Robust Distributed Learning: Byzantine Failures Hurt Generalization More than Data Poisoning
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Reproduction: Positive Distribution Shift as a Framework for Understanding Tractable Learning
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Reproduction: Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting
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Reproduction: An Odd Estimator for Shapley Values
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Repro - To Grok Grokking: Provable Grokking in Ridge Regression
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Repro - Stability Analysis of Sharpness-Aware Minimization
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Repro - Attention's forward pass and Frank-Wolfe
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Reproduction: Quantifying LLM Attention-Head Stability: Implications for Circuit Universality
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Repro - Who Said Neural Networks Aren't Linear?
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Reproduction: Gaussian Mean Field Variational Inference can Overestimate Predictive Variance
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Repro - Success-Conditioning as Policy Improvement: The Optimization Problem Solved by Imitating Success
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Repro - Softmax as Linear Attention in the Large-Prompt Regime
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Repro - Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models
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