tomyimkc (Yim)

Reproduction: Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs

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Reproduction: The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient

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Reproduction: A Fine-Grained Understanding of Uniform Convergence for Halfspaces

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Reproduction: Language Generation with Replay: A Learning-Theoretic View of Model Collapse

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Reproduction: Curated Synthetic Data Doesn’t Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences

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Reproduction: Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift

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Reproduction: Quantifying Error Propagation and Model Collapse in Diffusion Models

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Reproduction: Loss-Aware Distributionally Robust Optimization via Trainable Optimal Transport Ambiguity Sets

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Reproduction: Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis

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Reproduction: Sinkhorn Treatment Effects: A Causal Optimal Transport Measure

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Reproduction: Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning

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Reproduction: Multi-Distribution Robust Conformal Prediction

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Reproduction: Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variations

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Reproduction: Asymptotically Optimal Sequential Testing with Markovian Data

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Reproduction: Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning

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Reproduction: Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality

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Reproduction: Gaussian Mean Field Variational Inference can Overestimate Predictive Variance

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Reproduction: Strategic Candidacy in Generative AI Arenas

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Reproduction: Learning in Bayesian Stackelberg Games With Unknown Follower's Types

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Reproduction: Prior Diffusiveness and Regret in the Linear-Gaussian Bandit

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Reproduction: Convex Basins in Single-Index Model Loss Landscapes: Applications to Robust Recovery under Strong Adversarial Corruption

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Reproduction: Learn to change the world: Multi-level reinforcement learning with model-changing actions

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Reproduction: Convergence of Steepest Descent and Adam under Non-Uniform Smoothness

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Reproduction: The Optimal Sample Complexity of Linear Contracts

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Yim PRO

AI & ML interests

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tomyimkc 's Spaces 190

Reproduction: Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs

Reproduction: The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient

Reproduction: A Fine-Grained Understanding of Uniform Convergence for Halfspaces

Reproduction: Language Generation with Replay: A Learning-Theoretic View of Model Collapse

Reproduction: Curated Synthetic Data Doesn’t Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences

Reproduction: Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift

Reproduction: Quantifying Error Propagation and Model Collapse in Diffusion Models

Reproduction: Loss-Aware Distributionally Robust Optimization via Trainable Optimal Transport Ambiguity Sets

Reproduction: Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis

Reproduction: Sinkhorn Treatment Effects: A Causal Optimal Transport Measure

Reproduction: Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning

Reproduction: Multi-Distribution Robust Conformal Prediction

Reproduction: Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variations

Reproduction: Asymptotically Optimal Sequential Testing with Markovian Data

Reproduction: Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning

Reproduction: Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality

Reproduction: Gaussian Mean Field Variational Inference can Overestimate Predictive Variance

Reproduction: Strategic Candidacy in Generative AI Arenas

Reproduction: Learning in Bayesian Stackelberg Games With Unknown Follower's Types

Reproduction: Prior Diffusiveness and Regret in the Linear-Gaussian Bandit

Reproduction: Convex Basins in Single-Index Model Loss Landscapes: Applications to Robust Recovery under Strong Adversarial Corruption

Reproduction: Learn to change the world: Multi-level reinforcement learning with model-changing actions

Reproduction: Convergence of Steepest Descent and Adam under Non-Uniform Smoothness

Reproduction: The Optimal Sample Complexity of Linear Contracts

Yim PRO

AI & ML interests

Organizations

tomyimkc 's Spaces 190 Sort: Recently updated

Reproduction: Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs

Reproduction: The Implicit Bias of Steepest Descent with Mini-batch Stochastic Gradient

Reproduction: A Fine-Grained Understanding of Uniform Convergence for Halfspaces

Reproduction: Language Generation with Replay: A Learning-Theoretic View of Model Collapse

Reproduction: Curated Synthetic Data Doesn’t Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences

Reproduction: Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift

Reproduction: Quantifying Error Propagation and Model Collapse in Diffusion Models

Reproduction: Loss-Aware Distributionally Robust Optimization via Trainable Optimal Transport Ambiguity Sets

Reproduction: Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis

Reproduction: Sinkhorn Treatment Effects: A Causal Optimal Transport Measure

Reproduction: Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning

Reproduction: Multi-Distribution Robust Conformal Prediction

Reproduction: Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variations

Reproduction: Asymptotically Optimal Sequential Testing with Markovian Data

Reproduction: Probabilistic Performance Guarantees for Multi-Task Reinforcement Learning

Reproduction: Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality

Reproduction: Gaussian Mean Field Variational Inference can Overestimate Predictive Variance

Reproduction: Strategic Candidacy in Generative AI Arenas

Reproduction: Learning in Bayesian Stackelberg Games With Unknown Follower's Types

Reproduction: Prior Diffusiveness and Regret in the Linear-Gaussian Bandit

Reproduction: Convex Basins in Single-Index Model Loss Landscapes: Applications to Robust Recovery under Strong Adversarial Corruption

Reproduction: Learn to change the world: Multi-level reinforcement learning with model-changing actions

Reproduction: Convergence of Steepest Descent and Adam under Non-Uniform Smoothness

Reproduction: The Optimal Sample Complexity of Linear Contracts

tomyimkc 's Spaces 190