🔄 In a Training Loop

Abdullah Mujeeb Khawaja

amkkk

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https://navigatingnoise.substack.com/

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updated a Space about 15 hours ago

amkkk/repro-perceptrons-and-localization-of-attentionatms-mean-field-landscape

published a Space about 15 hours ago

amkkk/repro-perceptrons-and-localization-of-attentionatms-mean-field-landscape

updated a Space about 16 hours ago

amkkk/repro-accelerated-multiple-wasserstein-gradient-flows-for-multi-objective

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amkkk 's Spaces 223

Reproduction: Perceptrons and Localization of Attention's Mean-Field Landscape

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Reproduction: Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization

Reproduction: Rethinking Contrastive Learning for Graph Collaborative Filtering

Reproduction: Trajectory-Level Data Augmentation for Offline Reinforcement Learning

Reproduction: TimeRCD Zero-Shot Time Series Anomaly Detection

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Reproduction: MiniMax Learning of Interpretable Factored Stochastic Policies from Conjoint Data, with Uncertainty Quantification

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Reproduction: Testing For Distribution Shifts with Conditional Conformal Test Martingales

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Reproduction: Why Agentic Theorem Prover Works: A Statistical Provability Theory of Mathematical Reasoning Models

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Reproduction: MIRA — A Score for Conditional Distribution Accuracy and Model Comparison

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Reproduction: Time series saliency maps: Explaining models across multiple domains

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Reproduction: Gromov-Wasserstein at Scale, Beyond Squared Norms

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Reproduction: A Geometric Analysis of Small-sized Language Model Hallucinations

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Reproduction: A Stronger Benchmark for Online Bilateral Trade

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Reproduction: Budget-Feasible Mechanisms for Submodular Welfare Maximization in Procurement Auctions

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Reproduction: On the Effect of Misspecifying the Embedding Dimension in Low-rank Network Models

Reproduction: Universal Representation of Generalized Convex Functions and their Gradients

Reproduction: Stable Deep Reinforcement Learning via Isotropic Gaussian Representations

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Reproduction: Differentiable Conformal Training for LLM Reasoning Factuality

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Reproduction: Approximation Theory for Lipschitz Continuous Transformers

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Reproduction: Conservation Laws for Modern Neural Architectures

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Reproduction: Quantifying the noise sensitivity of the Wasserstein metric for images

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Reproduction: Near-Optimal and Efficient First-Order Algorithm for Multi-Task Learning with Shared Linear Representation

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Reproduction: Performative Learning Theory

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Reproduction: Provable Bounds for the Learnability of Sample-Compressible Families from Noisy Samples

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