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Repro — Keep Everyone Happy: Online Fair Division of Numerous Items with Few Copies
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Hong Seong Pyo
SabaPivot
AI & ML interests
AI Safety
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updated a Space 1 day ago
SabaPivot/repro-a-formal-comparison-between-chain-of-thought-and-latent-thought updated a Space 1 day ago
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Reproduction: MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation
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Reproduction: Beyond First-order Asymptotics in Sequential Mean Testing
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Reproduction: Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift
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Reproduction: Reward-free Alignment for Conflicting Objectives
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Repro - Stability Analysis of Sharpness-Aware Minimization
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Reproduction: Clipping Makes Distributed and Federated Asynchronous SGD Robust to Stragglers
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Reproduction: Online Social Welfare Function-based Resource Allocation
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Repro - Lipschitz Continuous Transformers
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Repro - Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models
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Reproduction: Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting
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Reproduction: On the Power of (Approximate) Reward Models for Inference-Time Scaling: Sequential Monte Carlo and Beyond
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Reproduction: Olaf-World: Orienting Latent Actions for Video World Modeling
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Reproduction: Budget-Feasible Mechanisms for Submodular Welfare Maximization in Procurement Auctions
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Reproduction: Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis
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Reproduction: Token Sample Complexity of Attention
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Reproduction: ReNF: Rethinking the Design of Neural Long-Term Time Series Forecasters
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Reproduction: Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability
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Reproduction: Richer Bayesian Last Layers with Subsampled NTK Features
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Reproduction: On the Power of Source Screening for Learning Shared Feature Extractors
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Reproduction: Accuracy-First Rényi Differential Privacy and Post-Processing Immunity
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Reproduction: Quantifying Error Propagation and Model Collapse in Diffusion Models
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Reproduction: Gradient Flow Through Diagram Expansions: Learning Regimes and Explicit Solutions
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Reproduction: A Fully First-Order Layer for Differentiable Optimization
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