Yaacov Ritov

Orcid: 0000-0002-6046-8479

Affiliations:
  • Hebrew University of Jerusalem, Israel


According to our database1, Yaacov Ritov authored at least 26 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
A statistical framework for weak-to-strong generalization.
CoRR, 2024

Learning in reverse causal strategic environments with ramifications on two sided markets.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2021
Inference In High-dimensional Single-Index Models Under Symmetric Designs.
J. Mach. Learn. Res., 2021

Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals.
CoRR, 2021

2017
Sparse Reconstruction Algorithm for Nonhomogeneous Counting Rate Estimation.
IEEE Trans. Signal Process., 2017

Identifying a Minimal Class of Models for High-dimensional Data.
J. Mach. Learn. Res., 2017

On conditional parity as a notion of non-discrimination in machine learning.
CoRR, 2017

2015
Tie the straps: Uniform bootstrap confidence bands for semiparametric additive models.
J. Multivar. Anal., 2015

2013
Sparse Regression Algorithm for Activity Estimation in γ Spectrometry.
IEEE Trans. Signal Process., 2013

2012
Bootstrap confidence bands and partial linear quantile regression.
J. Multivar. Anal., 2012

2011
Semiparametric Curve Alignment and Shift Density Estimation for Biological Data.
IEEE Trans. Signal Process., 2011

2009
Local procrustes for manifold embedding: a measure of embedding quality and embedding algorithms.
Mach. Learn., 2009

Consistency and Localizability.
J. Mach. Learn. Res., 2009

2008
Manifold Learning: The Price of Normalization.
J. Mach. Learn. Res., 2008

LDR-LLE: LLE with Low-Dimensional Neighborhood Representation.
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

Semiparametric shift estimation for alignment of ECG data.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

How Local Should a Learning Method Be?.
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.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

2006
Some Theory for Generalized Boosting Algorithms.
J. Mach. Learn. Res., 2006

2005
Minimizing flow-time on a single machine with integer batch sizes.
Oper. Res. Lett., 2005

2001
Homogeneous Customers Renege from Invisible Queues at Random Times under Deteriorating Waiting Conditions.
Queueing Syst. Theory Appl., 2001

1999
Tracking Many Objects with Many Sensors.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

1995
Estimating linear functionals of a PET image.
IEEE Trans. Medical Imaging, 1995

1993
On Series Expansions and Stochastic Matrices.
SIAM J. Matrix Anal. Appl., July, 1993

Logarithmic pruning of FFT frequencies.
IEEE Trans. Signal Process., 1993


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