Jeffrey Negrea | DeepAI

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∙ 02/07/2023

Concept Algebra for Text-Controlled Vision Models

This paper concerns the control of text-guided generative models, where ...

0 Zihao Wang, et al. ∙

∙ 07/25/2022

Statistical Inference with Stochastic Gradient Algorithms

Tuning of stochastic gradient algorithms (SGAs) for optimization and sam...

0 Jeffrey Negrea, et al. ∙

∙ 07/13/2020

Relaxing the I.I.D. Assumption: Adaptive Minimax Optimal Sequential Prediction with Expert Advice

We consider sequential prediction with expert advice when the data are g...

0 Blair Bilodeau, et al. ∙

∙ 04/27/2020

Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms

The information-theoretic framework of Russo and J. Zou (2016) and Xu an...

25 Mahdi Haghifam, et al. ∙

∙ 12/09/2019

In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors

We propose to study the generalization error of a learned predictor ĥ in...

11 Jeffrey Negrea, et al. ∙

∙ 11/06/2019

Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates

In this work, we improve upon the stepwise analysis of noisy iterative l...

15 Jeffrey Negrea, et al. ∙

∙ 02/18/2019

Optimal Scaling and Shaping of Random Walk Metropolis via Diffusion Limits of Block-I.I.D. Targets

This work extends Roberts et al. (1997) by considering limits of Random ...

0 Jeffrey Negrea, et al. ∙

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