Yaacov Ritov

According to our database, Yaacov Ritov authored at least 23 papers between 1993 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Inference In High-dimensional Single-Index Models Under Symmetric Designs.

Hamid Eftekhari, Moulinath Banerjee, Yaacov Ritov

J. Mach. Learn. Res., 2021

Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals.

Junhui Cai, Xu Han, Yaacov Ritov, Linda Zhao

CoRR, 2021

2017

Sparse Reconstruction Algorithm for Nonhomogeneous Counting Rate Estimation.

Thomas Trigano, Yann Sepulcre, Yaacov Ritov

IEEE Trans. Signal Process., 2017

Identifying a Minimal Class of Models for High-dimensional Data.

Daniel Nevo, Yaacov Ritov

J. Mach. Learn. Res., 2017

On conditional parity as a notion of non-discrimination in machine learning.

Yaacov Ritov, Yuekai Sun, Ruofei Zhao

CoRR, 2017

2015

Tie the straps: Uniform bootstrap confidence bands for semiparametric additive models.

Wolfgang K. Härdle, Yaacov Ritov, Weining Wang

J. Multivar. Anal., 2015

2013

Sparse Regression Algorithm for Activity Estimation in γ Spectrometry.

Yann Sepulcre, Thomas Trigano, Yaacov Ritov

IEEE Trans. Signal Process., 2013

2012

Bootstrap confidence bands and partial linear quantile regression.

Song Song, Yaacov Ritov, Wolfgang K. Härdle

J. Multivar. Anal., 2012

2011

Semiparametric Curve Alignment and Shift Density Estimation for Biological Data.

Thomas Trigano, Uri Isserles, Yaacov Ritov

IEEE Trans. Signal Process., 2011

2009

Local procrustes for manifold embedding: a measure of embedding quality and embedding algorithms.

Yair Goldberg, Yaacov Ritov

Mach. Learn., 2009

Consistency and Localizability.

Alon Zakai, Yaacov Ritov

J. Mach. Learn. Res., 2009

2008

Manifold Learning: The Price of Normalization.

Yair Goldberg, Alon Zakai, Dan Kushnir, Yaacov Ritov

J. Mach. Learn. Res., 2008

LDR-LLE: LLE with Low-Dimensional Neighborhood Representation.

Yair Goldberg, Yaacov Ritov

Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

Semiparametric shift estimation for alignment of ECG data.

Thomas Trigano, Uri Isserles, Yaacov Ritov

Proceedings of the 2008 16th European Signal Processing Conference, 2008

How Local Should a Learning Method Be?.

Alon Zakai, Yaacov Ritov

Proceedings of the 21st Annual Conference on Learning Theory, 2008

2007

Is Pinocchio's Nose Long or His Head Small? Learning Shape Distances for Classification.

Daniel Gill, Yaacov Ritov, Gideon Dror

Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

2006

Some Theory for Generalized Boosting Algorithms.

Peter J. Bickel, Yaacov Ritov, Alon Zakai

J. Mach. Learn. Res., 2006

2005

Minimizing flow-time on a single machine with integer batch sizes.

Gur Mosheiov, Daniel Oron, Yaacov Ritov

Oper. Res. Lett., 2005

2001

Homogeneous Customers Renege from Invisible Queues at Random Times under Deteriorating Waiting Conditions.

Moshe Haviv, Yaacov Ritov

Queueing Syst. Theory Appl., 2001

1999

Tracking Many Objects with Many Sensors.

Hanna Pasula, Stuart Russell, Michael Ostland, Yaacov Ritov

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

1995

Estimating linear functionals of a PET image.

Peter J. Bickel, Yaacov Ritov

IEEE Trans. Medical Imaging, 1995

1993

On Series Expansions and Stochastic Matrices.

Moshe Haviv, Yaacov Ritov

SIAM J. Matrix Anal. Appl., July, 1993

Logarithmic pruning of FFT frequencies.

S. Barash, Yaacov Ritov

IEEE Trans. Signal Process., 1993