🔄 In a Training Loop

Abdullah Mujeeb Khawaja

amkkk

·

https://navigatingnoise.substack.com/

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Recent Activity

updated a Space about 8 hours ago

amkkk/branch-and-cut-learning-repro

published a Space about 8 hours ago

amkkk/branch-and-cut-learning-repro

updated a Space about 8 hours ago

amkkk/chebyshev-mountain-car-repro

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amkkk 's Spaces 43

Repro - Theoretical Challenges in Learning for Branch-and-Cut

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Repro - Chebyshev Policies and the Mountain Car Problem

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Repro - Tighter Regret Lower Bound for GP Bandits with SE Kernel

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Repro - Improved Analysis of the Accelerated Noisy Power Method

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Repro - Welfare-Optimal Classification with Accuracy Auctions

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Repro - A General Framework for Fair and Robust Regression

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Repro - On Structured State-Space Duality

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Repro - Non-Uniform Noise-to-Signal Ratio in REINFORCE

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Repro - Asymptotically Optimal Sequential Testing with Markovian Data

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Repro - Unified Spectral Analysis of Knowledge Transfer

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Repro - Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs

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Repro - To Grok Grokking: Provable Grokking in Ridge Regression

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Repro - Fine-Tuning Without Forgetting In-Context Learning

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Repro - Softmax as Linear Attention in the Large-Prompt Regime

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Repro - Attention forward pass and Frank-Wolfe

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Repro - On Regret Bounds of Thompson Sampling for Bayesian Optimization

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Repro - Rethinking Neural Network Learning Rates: A Stackelberg Perspective

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Repro - On Regret Bounds of Thompson Sampling for Bayesian Optimization

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Repro - On Regret Bounds of Thompson Sampling for Bayesian Optimization

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Generalized Linear Bandits With Memory Repro

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Repro - Flat Minima and Generalization: Insights from Stochastic Convex Optimization

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Repro - Learning to Rank by Directly Optimizing Full-Order Probabilities

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Repro - SVRG and Beyond via Posterior Correction

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Repro - Optimal Bayesian Stopping for Efficient Inference of Consistent LLM Answers

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