ParetoOptimal (Nate Mauer)

Understanding Generalization from Embedding Dimension and Distributional Convergence

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How Can Mamba Learn In Context with Outliers and Generalize Provably?

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

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Universal Representation of Generalized Convex Functions and their Gradients

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Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System

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Gradient-Free Approaches is a Key to an Efficient Interaction with Markovian Stochasticity

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Approximation Preserving Coresets

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Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings

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A Decision-Theoretic View of Test-Time Training: When, How Far, and Which Directions to Adapt

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Are Two Datasets Close Enough With Statistical Significance? A Kernel Distributional Closeness Testing Approach

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

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Discrete Adjoint Schrödinger Bridge Sampler

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Generalized Schrodinger Bridge on Graphs

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DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home

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Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing

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Recovering Policy-Induced Errors: Benchmarking and Trajectory Synthesis for Robust GUI Agents

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AdaSplash-2: Faster Differentiable Sparse Attention

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Bregman meets Lévy: Stochastic Mirror Descent with Heavy-Tailed Noise in Continuous and Discrete Time

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(Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games

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TimeLAVA: Learning-Agnostic Valuation for Time Series Data

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Accurate Evaluation of Quickest Changepoint Detectors via Non-parametric Survival Analysis

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Revenue Guarantees of No-Swap-Regret Dynamics in First Price Auctions

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Unfolding Generative Flows with Koopman Operators: Trajectory-Preserving Linearization

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Rethinking the Flow-based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective

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Nate Mauer PRO

AI & ML interests

Organizations

ParetoOptimal 's Spaces 156

Understanding Generalization from Embedding Dimension and Distributional Convergence

How Can Mamba Learn In Context with Outliers and Generalize Provably?

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

Universal Representation of Generalized Convex Functions and their Gradients

Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System

Gradient-Free Approaches is a Key to an Efficient Interaction with Markovian Stochasticity

Approximation Preserving Coresets

Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings

A Decision-Theoretic View of Test-Time Training: When, How Far, and Which Directions to Adapt

Are Two Datasets Close Enough With Statistical Significance? A Kernel Distributional Closeness Testing Approach

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

Discrete Adjoint Schrödinger Bridge Sampler

Generalized Schrodinger Bridge on Graphs

DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home

Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing

Recovering Policy-Induced Errors: Benchmarking and Trajectory Synthesis for Robust GUI Agents

AdaSplash-2: Faster Differentiable Sparse Attention

Bregman meets Lévy: Stochastic Mirror Descent with Heavy-Tailed Noise in Continuous and Discrete Time

(Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games

TimeLAVA: Learning-Agnostic Valuation for Time Series Data

Accurate Evaluation of Quickest Changepoint Detectors via Non-parametric Survival Analysis

Revenue Guarantees of No-Swap-Regret Dynamics in First Price Auctions

Unfolding Generative Flows with Koopman Operators: Trajectory-Preserving Linearization

Rethinking the Flow-based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective

Nate Mauer PRO

AI & ML interests

Organizations

ParetoOptimal 's Spaces 156 Sort: Recently updated

Understanding Generalization from Embedding Dimension and Distributional Convergence

How Can Mamba Learn In Context with Outliers and Generalize Provably?

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

Universal Representation of Generalized Convex Functions and their Gradients

Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System

Gradient-Free Approaches is a Key to an Efficient Interaction with Markovian Stochasticity

Approximation Preserving Coresets

Adaptive Personalized Federated Learning via Multi-task Averaging of Kernel Mean Embeddings

A Decision-Theoretic View of Test-Time Training: When, How Far, and Which Directions to Adapt

Are Two Datasets Close Enough With Statistical Significance? A Kernel Distributional Closeness Testing Approach

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

Discrete Adjoint Schrödinger Bridge Sampler

Generalized Schrodinger Bridge on Graphs

DIYHealth Suite: Dataset, Model, and Benchmark for Health Management at Home

Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing

Recovering Policy-Induced Errors: Benchmarking and Trajectory Synthesis for Robust GUI Agents

AdaSplash-2: Faster Differentiable Sparse Attention

Bregman meets Lévy: Stochastic Mirror Descent with Heavy-Tailed Noise in Continuous and Discrete Time

(Doubly) Exponential Lower Bounds for Follow the Regularized Leader in Potential Games

TimeLAVA: Learning-Agnostic Valuation for Time Series Data

Accurate Evaluation of Quickest Changepoint Detectors via Non-parametric Survival Analysis

Revenue Guarantees of No-Swap-Regret Dynamics in First Price Auctions

Unfolding Generative Flows with Koopman Operators: Trajectory-Preserving Linearization

Rethinking the Flow-based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective

ParetoOptimal 's Spaces 156