Search Results for author: Peter Zhang

Found 6 papers, 2 papers with code

Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection

1 code implementation18 Mar 2024 Julia Wolleb, Florentin Bieder, Paul Friedrich, Peter Zhang, Alicia Durrer, Philippe C. Cattin

As diffusion-based methods require a lot of GPU memory and have long sampling times, we present a novel and fast unsupervised anomaly detection approach based on latent Bernoulli diffusion models.

Denoising Image Generation +1

Distributionally Robust Principal-Agent Problems and Optimality of Contracts

no code implementations13 Mar 2023 Peter Zhang

We construct a theoretical framework to certify whether any surjective contract family is optimal, and bound its sub-optimality.

A Mathematical Programming Approach to Optimal Classification Forests

no code implementations18 Nov 2022 Víctor Blanco, Alberto Japón, Justo Puerto, Peter Zhang

In this paper, we introduce Optimal Classification Forests, a new family of classifiers that takes advantage of an optimal ensemble of decision trees to derive accurate and interpretable classifiers.

Classification

Model Mis-specification and Algorithmic Bias

no code implementations31 May 2021 Runshan Fu, Yangfan Liang, Peter Zhang

We show that even with unbiased input data, when a model is mis-specified: (1) population-level mean prediction error can still be negligible, but group-level mean prediction errors can be large; (2) such errors are not equal across groups; and (3) the difference between errors, i. e., bias, can take the worst-case realization.

DEFT: Detection Embeddings for Tracking

1 code implementation3 Feb 2021 Mohamed Chaabane, Peter Zhang, J. Ross Beveridge, Stephen O'Hara

DEFT has comparable accuracy and speed to the top methods on 2D online tracking leaderboards while having significant advantages in robustness when applied to more challenging tracking data.

3D Multi-Object Tracking Multiple Object Tracking +3

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