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A Tight Theory of Error Feedback — Exact 6/6 CPU Reproduction
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🏗️ Building on HF
Lukas Lozada
neonforestmist
AI & ML interests
None yet
Recent Activity
updated a model 3 days ago
neonforestmist/smolgpt-fables updated a model 3 days ago
neonforestmist/Clover-Image-Tiny updated a model 6 days ago
neonforestmist/Clover-Image-Tiny-InpaintOrganizations
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Causal Identifiability with Latent Confounders — Exact CPU Audit
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Online Newton NASketch — Paper-Scale d20/d40 6/6 Repair
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Last-Iterate Stochastic Monotone VIs — Exact 6/6 CPU Reproduction
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Momentum Further Constrains Sharpness — Exact CPU Reproduction
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Improved Dimension Dependence for BCO — Anchored 12-Point Repair
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Parameter-Free Dynamic Regret — Exact 6/6 CPU Reproduction
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Optimal Anytime COCO — Exact Anchored 8/8 CPU Reproduction
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Fair and Robust Regression — Exact CPU Reproduction
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Well-Posed KL Control — CPU Reproduction
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Do-calculus derivation graphs - exact CPU audit
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Masked SSL Random-Matrix Theory — Exact CPU Audit
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Coin Flip for Safety — Aggregate-Only CPU Reproduction
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Row-Stochastic Outperformance — Four-Anchor CPU Reproduction
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Branch-and-Cut Local-Score Separations — CPU Reproduction
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Frank-Wolfe Lower Bound — CPU Reproduction
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Compact Conformal Subgraphs - scaled CPU repair
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Repro - Catastrophic k-means failure
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Repro - Adam on Degenerate Polynomials
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Repro - Flat Minima and Generalization in Stochastic Convex Optimization
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Repro - Softmax as Linear Attention in the Large-Prompt Regime
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Repro - Demystifying LLM-as-a-Judge: Inference-Time Scaling
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Repro - Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks
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Repro - Success-Conditioning as Policy Improvement: The Optimization Problem Solved by Imitating Success
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