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Reproduction: Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation
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Ryan Wiley PRO
rdubwiley
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updated a Space 10 days ago
rdubwiley/repro-understanding-catastrophic-forgetting-in-lora-via-mean-field-attention-dynamics published a Space 10 days ago
rdubwiley/repro-understanding-catastrophic-forgetting-in-lora-via-mean-field-attention-dynamics published a bucket 10 days ago
rdubwiley/repro-understanding-catastrophic-forgetting-in-lora-via-mean-field-attention-dynamics-artifactsOrganizations
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Reproduction: Equilibrium Pricing in Oligopolistic Data Markets
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Reproduction: UltraLIF: Fully Differentiable Spiking Neural Networks via Ultradiscretization and Max-Plus Algebra
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Reproduction: Refined Analysis of Entropy-Regularized Actor-Critic
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Reproduction: Is Data Shapley Not Better than Random in Data Selection? Ask NASH
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Reproduction: Conformal Risk-Averse Decision Making with Action Conditional Guarantee
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Reproduction: Accuracy-First Rényi Differential Privacy and Post-Processing Immunity
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Reproduction: AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Material Structures
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Reproduction: Are Your Agents Upward Deceivers?
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Reproduction: MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
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Reproduction: Large Language Models Develop Novel Social Biases Through Adaptive Exploration
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Reproduction: Set-Preserving Calibration from Conformal P-Values to E-Values
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Reproduction: Mean-Shift PCA by Knockoff Mean
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Reproduction: Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting
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Reproduction: No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
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Reproduction: Gaussian Mean Field Variational Inference can Overestimate Predictive Variance
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Repro - Near-Optimal and Efficient First-Order Algorithm for Multi-Task Learning with Shared Linear Representation
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Repro - Revisiting ML Training under Fully Homomorphic Encryption: Convergence Guarantees, Differential Privacy, and Efficient Algorithms
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Repro - Emergent Analogical Reasoning in Transformers
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Repro - A Theoretical Framework for Statistical Evaluability of Generative Models
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Repro - Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders
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Repro - Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation
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Repro - Transformers Can Learn Posterior Predictive Distributions In-Context
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Repro - Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming
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