NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (26)

cs.LG2019

An adaptive nearest neighbor rule for classification

Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund +1

cs.CV2018

Robust Landmark Detection for Alignment of Mouse Brain Section Images

Yuncong Chen, David Kleinfeld, Martyn Goulding +1

cs.LG2016

Typical Stability

Raef Bassily, Yoav Freund

q-bio.GN2007

Motif Discovery through Predictive Modeling of Gene Regulation

Manuel Middendorf, Anshul Kundaje, Mihir Shah +3

cs.LG2016

Muffled Semi-Supervised Learning

Akshay Balsubramani, Yoav Freund

cs.IT2009

A method for Hedging in continuous time

Yoav Freund

cs.LG2015

PAC-Bayes with Minimax for Confidence-Rated Transduction

Akshay Balsubramani, Yoav Freund

q-bio.QM2004

Predicting Genetic Regulatory Response using Classification: Yeast Stress Response

Manuel Middendorf, Anshul Kundaje, Chris Wiggins +2

stat.ML2008

Random projection trees for vector quantization

Sanjoy Dasgupta, Yoav Freund

cs.CV2018

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

Yuncong Chen, Lauren McElvain, Alex Tolpygo +5

cs.LG2015

Scalable Semi-Supervised Aggregation of Classifiers

Akshay Balsubramani, Yoav Freund

cs.LG2015

The Fast Convergence of Incremental PCA

Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund

cs.CV2010

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

Mayank Kabra, Annie L. Conery, Eyleen J. O'Rourke +7

cs.LG2012

An Online Learning-based Framework for Tracking

Kamalika Chaudhuri, Yoav Freund, Daniel Hsu

cs.HC2014

Co-adaptation in a Handwriting Recognition System

Sunsern Cheamanunkul, Yoav Freund

cs.LG2010

Tracking using explanation-based modeling

Kamalika Chaudhuri, Yoav Freund, Daniel Hsu

stat.ML2009

A more robust boosting algorithm

Yoav Freund

cs.LG2014

Non-Convex Boosting Overcomes Random Label Noise

Sunsern Cheamanunkul, Evan Ettinger, Yoav Freund

cs.GT2008

A new Hedging algorithm and its application to inferring latent random variables

Yoav Freund, Daniel Hsu

q-bio.QM2004

Predicting Genetic Regulatory Response Using Classification

Manuel Middendorf, Anshul Kundaje, Chris Wiggins +2

cs.AI2010

Particle Filtering on the Audio Localization Manifold

Evan Ettinger, Yoav Freund

cs.LG2016

Optimal Binary Classifier Aggregation for General Losses

Akshay Balsubramani, Yoav Freund

cs.LG2018

Tell Me Something New: A New Framework for Asynchronous Parallel Learning

Julaiti Alafate, Yoav Freund

cs.LG2010

A parameter-free hedging algorithm

Kamalika Chaudhuri, Yoav Freund, Daniel Hsu

cs.LG2015

Optimally Combining Classifiers Using Unlabeled Data

Akshay Balsubramani, Yoav Freund

math.ST2004

Generalization bounds for averaged classifiers

Yoav Freund, Yishay Mansour, Robert E. Schapire