
Searching for consistent associations with a multienvironment knockoff filter
This paper develops a method based on modelX knockoffs to find conditio...
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Improving Conditional Coverage via Orthogonal Quantile Regression
We develop a method to generate prediction intervals that have a usersp...
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Conformal histogram regression
This paper develops a conformal method to compute prediction intervals f...
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Testing for Outliers with Conformal pvalues
This paper studies the construction of pvalues for nonparametric outlie...
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Achieving Equalized Odds by Resampling Sensitive Attributes
We present a flexible framework for learning predictive models that appr...
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Classification with Valid and Adaptive Coverage
Conformal inference, crossvalidation+, and the jackknife+ are holdout ...
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With Malice Towards None: Assessing Uncertainty via Equalized Coverage
An important factor to guarantee a fair use of datadriven recommendatio...
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Conformalized Quantile Regression
Conformal prediction is a technique for constructing prediction interval...
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Deep Knockoffs
This paper introduces a machine for sampling approximate modelX knockof...
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Improving Pursuit Algorithms Using Stochastic Resonance
Sparse Representation Theory is a subfield of signal processing that ha...
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Classification Stability for SparseModeled Signals
Despite their impressive performance, deep convolutional neural networks...
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Acceleration of RED via Vector Extrapolation
Models play an important role in inverse problems, serving as the prior ...
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MultiLayer Convolutional Sparse Modeling: Pursuit and Dictionary Learning
The recently proposed MultiLayer Convolutional Sparse Coding (MLCSC) m...
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Convolutional Dictionary Learning via Local Processing
Convolutional Sparse Coding (CSC) is an increasingly popular model in th...
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On the GlobalLocal Dichotomy in Sparsity Modeling
The traditional sparse modeling approach, when applied to inverse proble...
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The Little Engine that Could: Regularization by Denoising (RED)
Removal of noise from an image is an extensively studied problem in imag...
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ExampleBased Image Synthesis via Randomized PatchMatching
Image and texture synthesis is a challenging task that has long been dra...
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Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Convolutional neural networks (CNN) have led to many stateoftheart re...
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RAISR: Rapid and Accurate Image Super Resolution
Given an image, we wish to produce an image of larger size with signific...
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ConPatch: When a Patch Meets its Context
Measuring the similarity between patches in images is a fundamental buil...
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Boosting of Image Denoising Algorithms
In this paper we propose a generic recursive algorithm for improving ima...
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Yaniv Romano
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