ParetoOptimal (Nate Mauer)

Reproduction: Finite-time Convergence Analysis of Actor-Critic with Evolving Reward

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Allocating Variance to Maximize Expectation

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Certificate-Guided Pruning for Stochastic Lipschitz Optimization

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Semi-knockoffs: a model-agnostic conditional independence testing method with finite-sample guarantees

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Efficient Preference Poisoning Attack on Offline RLHF

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Conditional Coverage Diagnostics for Conformal Prediction

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Causal Modeling of Selection in Evolution

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Variational inference via Gaussian interacting particles in the Bures-Wasserstein geometry

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

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Two-Layer Linear Auto-Regressive Models Estimate Latent States

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

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Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks

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On the Power of (Approximate) Reward Models for Inference-Time Scaling: Sequential Monte Carlo and Beyond

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Exactly Computing do-Shapley Values

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Exact Functional ANOVA Decomposition for Categorical Inputs Models

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Innovation: An Almost Characterization of Hallucination

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CAffNet: Hard Constraint-Affine Neural Networks

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Reproduction: Provable Sample Efficiency of Curriculum Post-Training for Transformer Reasoning (ICML 2026)

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Reproduction: Fast k-means Seeding Under The Manifold Hypothesis (ICML 2026)

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Let the Prototype Guide You: Robust Aggregation of Sparse Multi-Class Annotations via Annotator Prototype Learning

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Bilevel Optimization over Saddle Points of Zero-Sum Markov Games

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Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs

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Ski Rental with Distributional Predictions of Unknown Quality

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Set-Preserving Calibration from Conformal P-Values to E-Values

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Nate Mauer PRO

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ParetoOptimal 's Spaces 156

Reproduction: Finite-time Convergence Analysis of Actor-Critic with Evolving Reward

Allocating Variance to Maximize Expectation

Certificate-Guided Pruning for Stochastic Lipschitz Optimization

Semi-knockoffs: a model-agnostic conditional independence testing method with finite-sample guarantees

Efficient Preference Poisoning Attack on Offline RLHF

Conditional Coverage Diagnostics for Conformal Prediction

Causal Modeling of Selection in Evolution

Variational inference via Gaussian interacting particles in the Bures-Wasserstein geometry

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

Two-Layer Linear Auto-Regressive Models Estimate Latent States

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

Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks

On the Power of (Approximate) Reward Models for Inference-Time Scaling: Sequential Monte Carlo and Beyond

Exactly Computing do-Shapley Values

Exact Functional ANOVA Decomposition for Categorical Inputs Models

Innovation: An Almost Characterization of Hallucination

CAffNet: Hard Constraint-Affine Neural Networks

Reproduction: Provable Sample Efficiency of Curriculum Post-Training for Transformer Reasoning (ICML 2026)

Reproduction: Fast k-means Seeding Under The Manifold Hypothesis (ICML 2026)

Let the Prototype Guide You: Robust Aggregation of Sparse Multi-Class Annotations via Annotator Prototype Learning

Bilevel Optimization over Saddle Points of Zero-Sum Markov Games

Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs

Ski Rental with Distributional Predictions of Unknown Quality

Set-Preserving Calibration from Conformal P-Values to E-Values

Nate Mauer PRO

AI & ML interests

Organizations

ParetoOptimal 's Spaces 156 Sort: Recently updated

Reproduction: Finite-time Convergence Analysis of Actor-Critic with Evolving Reward

Allocating Variance to Maximize Expectation

Certificate-Guided Pruning for Stochastic Lipschitz Optimization

Semi-knockoffs: a model-agnostic conditional independence testing method with finite-sample guarantees

Efficient Preference Poisoning Attack on Offline RLHF

Conditional Coverage Diagnostics for Conformal Prediction

Causal Modeling of Selection in Evolution

Variational inference via Gaussian interacting particles in the Bures-Wasserstein geometry

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

Two-Layer Linear Auto-Regressive Models Estimate Latent States

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

Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks

On the Power of (Approximate) Reward Models for Inference-Time Scaling: Sequential Monte Carlo and Beyond

Exactly Computing do-Shapley Values

Exact Functional ANOVA Decomposition for Categorical Inputs Models

Innovation: An Almost Characterization of Hallucination

CAffNet: Hard Constraint-Affine Neural Networks

Reproduction: Provable Sample Efficiency of Curriculum Post-Training for Transformer Reasoning (ICML 2026)

Reproduction: Fast k-means Seeding Under The Manifold Hypothesis (ICML 2026)

Let the Prototype Guide You: Robust Aggregation of Sparse Multi-Class Annotations via Annotator Prototype Learning

Bilevel Optimization over Saddle Points of Zero-Sum Markov Games

Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs

Ski Rental with Distributional Predictions of Unknown Quality

Set-Preserving Calibration from Conformal P-Values to E-Values

ParetoOptimal 's Spaces 156