Hong Seong Pyo

SabaPivot

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SabaPivot/repro-two-timescale-markovian-stochastic-approximation

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SabaPivot/repro-on-the-computational-complexity-of-performative-prediction

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SabaPivot/repro-diffusion-flow-matching-dimension-improved-kl-bounds-and-wasserstein-guarantees

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Reproduction: A Perturbation Approach to Unconstrained Linear Bandits

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Reproduction: Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo

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Reproduction: Envisioning Beyond the Few: Disentangled Semantics and Primitives for Few-Shot Atypical Layout-to-Image Generation

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

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Reproduction: Rotation-Invariant Spherical Watermarking via Third-Order SO(3) Representation Coupling

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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: Steady-State Behavior of Constant-Stepsize Stochastic Approximation: Gaussian Approximation and Tail Bounds

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

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Reproduction: Gradient Flow Through Diagram Expansions: Learning Regimes and Explicit Solutions

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

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Reproduction: Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks

Reproduction: Online Packet Scheduling with Deadlines and Learning

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Reproduction: DAL: A Practical Prior-Free Black-Box Framework for Piecewise Stationary Bandits

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Reproduction: Continuous Variable Hamiltonian Learning at Heisenberg Limit via Displacement-Random Unitary Transformation

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Reproduction: Speedup Patch: Learning a Plug-and-Play Policy to Accelerate Embodied Manipulation

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Reproduction: Accuracy-First Rényi Differential Privacy and Post-Processing Immunity

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Reproduction: Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction

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Reproduction: DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents

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Reproduction: Amortized Variational Inference for Partial-Label Learning: A Probabilistic Approach to Label Disambiguation

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

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Reproduction: Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming

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Reproduction: Linear Bandits beyond Inner Product Spaces, the case of Bandit Optimal Transport

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