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Reproduction: The Implicit Bias of Adam and Muon on Smooth Homogeneous Neural Networks
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Hong Seong Pyo
SabaPivot
AI & ML interests
AI Safety
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updated a Space 9 minutes ago
SabaPivot/repro-the-implicit-bias-of-adam-and-muon-on-smooth-homogeneous-neural-networks updated a Space 17 minutes ago
SabaPivot/repro-discovering-scaling-exponents-with-physics-informed-m-ntz-sz-sz-networks updated a Space 22 minutes ago
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Reproduction: Discovering Scaling Exponents with Physics-Informed Müntz-Szász Networks
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Reproduction: Online Packet Scheduling with Deadlines and Learning
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Reproduction: Certificate-Guided Pruning for Stochastic Lipschitz Optimization
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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: Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees
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Reproduction: On the Computational Complexity of Performative Prediction
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Reproduction: Compact Conformal Subgraphs
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Reproduction: Linear Bandits beyond Inner Product Spaces, the case of Bandit Optimal Transport
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Reproduction: Understanding Behavior Cloning with Action Quantization
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Reproduction: Fast Estimation for Forest Matrix of Signed Graphs
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Reproduction: Optimal Design for Multinomial Logit Model with Applications to Best Assortment Identification
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Reproduction: Multivariate Distributional Reinforcement Learning Using Sliced Divergences
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Reproduction: Allocating Variance to Maximize Expectation
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Reproduction: Commit to the Bit: Reactive Reinforcement Learning Done Right
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Reproduction: Linear Regression with Unknown Truncation Beyond Gaussian Features
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Reproduction: Stability beyond Bounded Differences: Sharp Generalization Bounds under Finite $L_p$ Moments
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Reproduction: Semi-knockoffs: a model-agnostic conditional independence testing method with finite-sample guarantees
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Reproduction: The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient
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Reproduction: Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety
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Reproduction: On the Effect of Misspecifying the Embedding Dimension in Low-rank Network Models
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Reproduction: Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorithm
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Reproduction: Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo
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Reproduction: Two-Layer Linear Auto-Regressive Models Estimate Latent States
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