Hong Seong Pyo

SabaPivot

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AI & ML interests

AI Safety

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SabaPivot/repro-towards-fully-parameter-free-stochastic-optimization-grid-search-with-self-bounding-analys

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SabaPivot/repro-matroid-algorithms-under-size-sensitive-independence-oracles

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SabaPivot/repro-bregman-meets-levy-stochastic-mirror-descent-with-heavy-tailed-noise-in-continuous-and

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Reproduction: Any-dimensional invariant universality

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D-RUT Hamiltonian Learning — Six-Claim CPU Reproduction

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Reproduction: Momentum Further Constrains Sharpness at the Edge of Stochastic Stability

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Reproduction: Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement Learning

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Reproduction: On the Computational Complexity of Performative Prediction

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Reproduction: A theory of learning data statistics in diffusion models, from easy to hard

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Reproduction: Diffusion Flow Matching: Dimension-Improved KL Bounds and Wasserstein Guarantees

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

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Reproduction - A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation

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Reproduction - Decentralized Online Convex Optimization with Efficient Communication: Improved Algorithm and Lower Bounds

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Reproduction - Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors

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Reproduction - On the Expressive Power of Permutation-Equivariant Weight-Space Networks

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Reproduction - Theoretical Challenges in Learning for Branch-and-Cut

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Reproduction - Dynamic Programming for Epistemic Uncertainty in Markov Decision Processes

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Reproduction - Efficient Stochastic Optimisation via Sequential Monte Carlo

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Reproduction - Alignment between Brains and AI: Evidence for Convergent Evolution across Modalities, Scales and Training Trajectories

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

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Reproduction - Asymptotic Optimality of the High-Dimensional Gaussian Mechanism and Improved Low-Dimensional Mechanisms for Differential Privacy

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Reproduction - All ERMs Can Fail in Stochastic Convex Optimization Lower Bounds in Linear Dimension

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Reproduction - Planar Symmetric Pattern Generation

All-17 native symmetry, VTM and metamaterial reproduction

Reproduction - Causal Matrix Completion under Multiple Treatments via Mixed Synthetic Nearest Neighbors

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Reproduction: Attention's forward pass and Frank-Wolfe

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Reproduction: GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent

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Reproduction: LILO: Bayesian Optimization with Natural Language Feedback

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