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Nate Mauer PRO

ParetoOptimal

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nate_mauer

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updated a Space 8 minutes ago

ParetoOptimal/repro-nnbmluweki

published a Space 17 minutes ago

ParetoOptimal/repro-rgnowsmybm

updated a Space 17 minutes ago

ParetoOptimal/repro-rgnowsmybm

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updated a Space 8 minutes ago

Covariance estimation using Markov chain Monte Carlo

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published a Space 17 minutes ago

A Coin Flip for Safety: LLM Judges Fail to Reliably Measure Adversarial Robustness

updated a Space 17 minutes ago

A Coin Flip for Safety: LLM Judges Fail to Reliably Measure Adversarial Robustness

updated a Space 35 minutes ago

On the Role of Batch Size in Stochastic Conditional Gradient Methods

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published a Space about 2 hours ago

Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning

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updated a Space about 2 hours ago

Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning

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published a Space about 2 hours ago

Towards Understanding Adam Convergence on Highly Degenerate Problems

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updated a Space about 2 hours ago

Towards Understanding Adam Convergence on Highly Degenerate Problems

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published a Space about 2 hours ago

Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Better

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updated a Space about 2 hours ago

Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Better

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published a Space about 2 hours ago

On the Provable Suboptimality of Momentum SGD in Nonstationary Optimization

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updated a Space about 2 hours ago

On the Provable Suboptimality of Momentum SGD in Nonstationary Optimization

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updated a Space about 4 hours ago

Attention's forward pass and Frank-Wolfe

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updated 3 Spaces about 5 hours ago

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

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updated 3 Spaces about 7 hours ago

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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updated a Space about 8 hours ago

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

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