tomyimkc (Yim)

Reproduction: Utility Boundary of Dataset Distillation: Scaling and Configuration-Coverage Laws

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Reproduction - Maximum Likelihood Reinforcement Learning

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Reproduction: Optimal Quantum Speedups for Repeatedly Nested Expectation Estimation

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Reproduction: Coverage Improvement and Fast Convergence of On-policy Preference Learning

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

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

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

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Reproduction: Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer

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Reproduction: Offline Two-Player Zero-Sum Markov Games with KL Regularization

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Reproduction: Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces

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Reproduction: Efficient Online Variational Estimation via Monte Carlo Sampling

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Reproduction: Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games

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Reproduction: Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks

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Reproduction: Multiple Choice Learning of Low-Rank Adapters for Language Modeling

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Reproduction: A Perturbation Approach to Unconstrained Linear Bandits

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Reproduction: Certificate-Guided Pruning for Stochastic Lipschitz Optimization

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Reproduction: GAAVI: Global Asymptotic Anytime Valid Inference for the Conditional Mean Function

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Reproduction: General Synthetic-Powered Inference

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Reproduction: Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO

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Reproduction: Perceptrons and Localization of Attention’s Mean-Field Landscape

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Reproduction: Singular Bayesian Neural Networks

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Reproduction: On Uniform Error Bounds for Kernel Regression under Non-Gaussian Noise

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Reproduction: MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation

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Reproduction: Latent Guided Sampling for Combinatorial Optimization

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Yim PRO

AI & ML interests

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tomyimkc 's Spaces 190

Reproduction: Utility Boundary of Dataset Distillation: Scaling and Configuration-Coverage Laws

Reproduction - Maximum Likelihood Reinforcement Learning

Reproduction: Optimal Quantum Speedups for Repeatedly Nested Expectation Estimation

Reproduction: Coverage Improvement and Fast Convergence of On-policy Preference Learning

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

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

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

Reproduction: Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer

Reproduction: Offline Two-Player Zero-Sum Markov Games with KL Regularization

Reproduction: Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces

Reproduction: Efficient Online Variational Estimation via Monte Carlo Sampling

Reproduction: Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games

Reproduction: Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks

Reproduction: Multiple Choice Learning of Low-Rank Adapters for Language Modeling

Reproduction: A Perturbation Approach to Unconstrained Linear Bandits

Reproduction: Certificate-Guided Pruning for Stochastic Lipschitz Optimization

Reproduction: GAAVI: Global Asymptotic Anytime Valid Inference for the Conditional Mean Function

Reproduction: General Synthetic-Powered Inference

Reproduction: Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO

Reproduction: Perceptrons and Localization of Attention’s Mean-Field Landscape

Reproduction: Singular Bayesian Neural Networks

Reproduction: On Uniform Error Bounds for Kernel Regression under Non-Gaussian Noise

Reproduction: MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation

Reproduction: Latent Guided Sampling for Combinatorial Optimization

Yim PRO

AI & ML interests

Organizations

tomyimkc 's Spaces 190 Sort: Recently updated

Reproduction: Utility Boundary of Dataset Distillation: Scaling and Configuration-Coverage Laws

Reproduction - Maximum Likelihood Reinforcement Learning

Reproduction: Optimal Quantum Speedups for Repeatedly Nested Expectation Estimation

Reproduction: Coverage Improvement and Fast Convergence of On-policy Preference Learning

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

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

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

Reproduction: Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer

Reproduction: Offline Two-Player Zero-Sum Markov Games with KL Regularization

Reproduction: Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces

Reproduction: Efficient Online Variational Estimation via Monte Carlo Sampling

Reproduction: Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games

Reproduction: Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks

Reproduction: Multiple Choice Learning of Low-Rank Adapters for Language Modeling

Reproduction: A Perturbation Approach to Unconstrained Linear Bandits

Reproduction: Certificate-Guided Pruning for Stochastic Lipschitz Optimization

Reproduction: GAAVI: Global Asymptotic Anytime Valid Inference for the Conditional Mean Function

Reproduction: General Synthetic-Powered Inference

Reproduction: Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO

Reproduction: Perceptrons and Localization of Attention’s Mean-Field Landscape

Reproduction: Singular Bayesian Neural Networks

Reproduction: On Uniform Error Bounds for Kernel Regression under Non-Gaussian Noise

Reproduction: MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation

Reproduction: Latent Guided Sampling for Combinatorial Optimization

tomyimkc 's Spaces 190