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Reproduction: Gaussian Mean Field Variational Inference can Overestimate Predictive Variance
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Hong Seong Pyo
SabaPivot
AI & ML interests
AI Safety
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updated a Space 5 days ago
SabaPivot/repro-a-formal-comparison-between-chain-of-thought-and-latent-thought updated a Space 5 days ago
SabaPivot/repro-facts-in-stats-impacts-of-pretraining-diversity-on-language-model-generalization updated a Space 5 days ago
SabaPivot/repro-dissecting-multimodal-in-context-learning-modality-asymmetries-and-circuit-dynamics-in-modOrganizations
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Reproduction: Can Adaptive Gradient Methods Converge under Heavy-Tailed Noise? A Case Study of AdaGrad
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Reproduction: Mirror Descent Under Generalized Smoothness
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Reproduction: Online Change Point Detection for Multivariate Inhomogeneous Poisson Processes Time Series
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Reproduction: Quantifying LLM Attention-Head Stability: Implications for Circuit Universality
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Reproduction: Anytime Detection of Strategic Deviations in Multi-Agent Systems
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Reproduction: Row-Stochastic Matrices Can Provably Outperform Doubly Stochastic Matrices in Decentralized Learning
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Reproduction: An Odd Estimator for Shapley Values
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Reproduction: Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs
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Reproduction: Non-Uniform Noise-to-Signal Ratio in the REINFORCE Policy-Gradient Estimator
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Reproduction: Discretized Density-Guided Source-Free Domain Adaptation for Regression
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Reproduction: Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting
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Repro - To Grok Grokking: Provable Grokking in Ridge Regression
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Repro - Who Said Neural Networks Aren't Linear?
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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 - On Structured State-Space Duality
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Repro - Understanding Generalization and Forgetting in In-Context Continual Learning
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Repro - Flat Minima and Generalization: Insights from Stochastic Convex Optimization
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Reproduction: A Tight Theory of Error Feedback Algorithms in Distributed Optimization
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Reproduction: Finding Most Influential Sets
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Reproduction: HiPPO Zoo: Explicit Memory Mechanisms for Interpretable State Space Models
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Reproduction: Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks
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Reproduction: Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning
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