🔄 In a Training Loop

Abdullah Mujeeb Khawaja

amkkk

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https://navigatingnoise.substack.com/

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amkkk 's Spaces 25

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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Repro - High-Probability Convergence Guarantees of Decentralized SGD

Repro - Component-Wise Composite Likelihood Distillation for Censored Time-to-Event Data

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Repro - Long-term Fairness with Selective Labels

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Repro - Reducing Per-Sample Harm in Stochastic Optimization

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Repro - Reducing Per-Sample Harm in Stochastic Optimization

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Repro - Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression

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Repro - Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise

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Repro - On Regret Bounds of Thompson Sampling for Bayesian Optimization

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Repro - Is Spurious Correlation Removal Always Learnable?

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Repro - Row-Stochastic Matrices Can Provably Outperform Doubly Stochastic Matrices in Decentralized Learning

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Repro - An Algebraic View of the Expressivity of Recurrent Language Models

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Repro - Multi-agent imitation learning with function approximation: linear Markov games and beyond

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Repro - Causal Effect Identifiability in the Presence of Latent Confounders Without Auxiliary Variables

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Repro - Lower Bounds for Frank-Wolfe on Strongly Convex Sets

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Repro - S3GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning

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Repro - Approximate Proportionality in Online Fair Division

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Repro - Revisiting Zeroth-Order Hessian Approximation: A Single-Step Policy Optimization Lens

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Repro: Conditional Coverage Diagnostics for Conformal Prediction

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Repro - An Odd Estimator for Shapley Values

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Repro - Minimum Distance Summaries for Robust Neural Posterior Estimation

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