Yoav Freund

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University of California, San Diego

Professor of Computer Science at the University of California San Diego

StreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm

Kernel ridge regression (KRR) is a popular scheme for non-linear non-par...
08/23/2021 ∙ by Andreas Oslandsbotn, et al. ∙ 11 ∙ share

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Optimal Strategies for Decision Theoretic Online Learning

We extend the drifting games analysis to continuous time and show that t...
06/20/2021 ∙ by Yoav Freund, et al. ∙ 6 ∙ share

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Audio scene monitoring using redundant un-localized microphone arrays

We present a system for localizing sound sources in a room with several ...
03/02/2021 ∙ by Peter Gerstoft, et al. ∙ 1 ∙ share

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Experimental Design for Bathymetry Editing

We describe an application of machine learning to a real-world computer ...
07/15/2020 ∙ by Julaiti Alafate, et al. ∙ 11 ∙ share

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An adaptive nearest neighbor rule for classification

We introduce a variant of the k-nearest neighbor classifier in which k i...
05/29/2019 ∙ by Akshay Balsubramani, et al. ∙ 6 ∙ share

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Faster Boosting with Smaller Memory

The two state-of-the-art implementations of boosted trees: XGBoost and L...
01/25/2019 ∙ by Julaiti Alafate, et al. ∙ 22 ∙ share

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Tell Me Something New: a new framework for asynchronous parallel learning

We present a novel approach for parallel computation in the context of m...
05/19/2018 ∙ by Julaiti Alafate, et al. ∙ 0 ∙ share

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Robust Landmark Detection for Alignment of Mouse Brain Section Images

Brightfield and fluorescent imaging of whole brain sections are funda- m...
03/09/2018 ∙ by Yuncong Chen, et al. ∙ 0 ∙ share

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The Active Atlas: Combining 3D Anatomical Models with Texture Detectors

While modern imaging technologies such as fMRI have opened exciting new ...
02/28/2017 ∙ by Yuncong Chen, et al. ∙ 0 ∙ share

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Muffled Semi-Supervised Learning

We explore a novel approach to semi-supervised learning. This approach i...
05/28/2016 ∙ by Akshay Balsubramani, et al. ∙ 0 ∙ share

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Optimal Binary Classifier Aggregation for General Losses

We address the problem of aggregating an ensemble of predictors with kno...
10/01/2015 ∙ by Akshay Balsubramani, et al. ∙ 0 ∙ share

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Optimally Combining Classifiers Using Unlabeled Data

We develop a worst-case analysis of aggregation of classifier ensembles ...
03/05/2015 ∙ by Akshay Balsubramani, et al. ∙ 0 ∙ share

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PAC-Bayes with Minimax for Confidence-Rated Transduction

We consider using an ensemble of binary classifiers for transductive pre...
01/15/2015 ∙ by Akshay Balsubramani, et al. ∙ 0 ∙ share

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The Fast Convergence of Incremental PCA

We consider a situation in which we see samples in R^d drawn i.i.d. from...
01/15/2015 ∙ by Akshay Balsubramani, et al. ∙ 0 ∙ share

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Co-adaptation in a Handwriting Recognition System

Handwriting is a natural and versatile method for human-computer interac...
09/09/2014 ∙ by Sunsern Cheamanunkul, et al. ∙ 0 ∙ share

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An Online Learning-based Framework for Tracking

We study the tracking problem, namely, estimating the hidden state of an...
03/15/2012 ∙ by Kamalika Chaudhuri, et al. ∙ 0 ∙ share

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Towards automated high-throughput screening of C. elegans on agar

High-throughput screening (HTS) using model organisms is a promising met...
03/22/2010 ∙ by Mayank Kabra, et al. ∙ 0 ∙ share

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Particle Filtering on the Audio Localization Manifold

We present a novel particle filtering algorithm for tracking a moving so...
03/02/2010 ∙ by Evan Ettinger, et al. ∙ 0 ∙ share

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A method for Hedging in continuous time

We present a method for hedging in continuous time....
04/21/2009 ∙ by Yoav Freund, et al. ∙ 0 ∙ share

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Tracking using explanation-based modeling

We study the tracking problem, namely, estimating the hidden state of an...
03/16/2009 ∙ by Kamalika Chaudhuri, et al. ∙ 0 ∙ share

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Random projection trees for vector quantization

A simple and computationally efficient scheme for tree-structured vector...
05/09/2008 ∙ by Sanjoy Dasgupta, et al. ∙ 0 ∙ share

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Yoav Freund

Featured Co-authors

Daniel Hsu

Kamalika Chaudhuri

Shay Moran

Sanjoy Dasgupta

Alexander Cloninger

Akshay Balsubramani

Francois Grondin

Xin Xie

Peter Gerstoft

Zeljko Kereta

Yihan Hu

StreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm

Optimal Strategies for Decision Theoretic Online Learning

Audio scene monitoring using redundant un-localized microphone arrays

Experimental Design for Bathymetry Editing

An adaptive nearest neighbor rule for classification

Faster Boosting with Smaller Memory

Tell Me Something New: a new framework for asynchronous parallel learning

Robust Landmark Detection for Alignment of Mouse Brain Section Images

The Active Atlas: Combining 3D Anatomical Models with Texture Detectors

Muffled Semi-Supervised Learning

Optimal Binary Classifier Aggregation for General Losses

Optimally Combining Classifiers Using Unlabeled Data

PAC-Bayes with Minimax for Confidence-Rated Transduction

The Fast Convergence of Incremental PCA

Co-adaptation in a Handwriting Recognition System

An Online Learning-based Framework for Tracking

Towards automated high-throughput screening of C. elegans on agar

Particle Filtering on the Audio Localization Manifold

A method for Hedging in continuous time

Tracking using explanation-based modeling

Random projection trees for vector quantization