Yaacov Ritov

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 10

Top Topics

Additive Models

Learning Scheme

High Dimensions

Sets Of Probability Measures

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Signal Process.

Publications

Seamus Somerstep, Yuekai Sun, Yaacov Ritov
Learning in reverse causal strategic environments with ramifications on two sided markets. ICLR (2024)
Seamus Somerstep, Yaacov Ritov, Yuekai Sun
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness. CoRR (2024)
Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun
A statistical framework for weak-to-strong generalization. CoRR (2024)
Seamus Somerstep, Yuekai Sun, Yaacov Ritov
Learning In Reverse Causal Strategic Environments With Ramifications on Two Sided Markets. CoRR (2024)
Seamus Somerstep, Yaacov Ritov, Yuekai Sun
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness. FAccT (2024)
Hamid Eftekhari, Moulinath Banerjee, Yaacov Ritov
Inference In High-dimensional Single-Index Models Under Symmetric Designs. J. Mach. Learn. Res. 22 (2021)
Junhui Cai, Xu Han, Yaacov Ritov, Linda Zhao
Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals. CoRR (2021)
Thomas Trigano, Yann Sepulcre, Yaacov Ritov
Sparse Reconstruction Algorithm for Nonhomogeneous Counting Rate Estimation. IEEE Trans. Signal Process. 65 (2) (2017)
Daniel Nevo, Yaacov Ritov
Identifying a Minimal Class of Models for High-dimensional Data. J. Mach. Learn. Res. 18 (2017)
Yaacov Ritov, Yuekai Sun, Ruofei Zhao
On conditional parity as a notion of non-discrimination in machine learning. CoRR (2017)
Wolfgang K. Härdle, Yaacov Ritov, Weining Wang
Tie the straps: Uniform bootstrap confidence bands for semiparametric additive models. J. Multivar. Anal. 134 (2015)
Yann Sepulcre, Thomas Trigano, Yaacov Ritov
Sparse Regression Algorithm for Activity Estimation in γ Spectrometry. IEEE Trans. Signal Process. 61 (17) (2013)
Song Song, Yaacov Ritov, Wolfgang K. Härdle
Bootstrap confidence bands and partial linear quantile regression. J. Multivar. Anal. 107 (2012)
Thomas Trigano, Uri Isserles, Yaacov Ritov
Semiparametric Curve Alignment and Shift Density Estimation for Biological Data. IEEE Trans. Signal Process. 59 (5) (2011)
Yair Goldberg, Yaacov Ritov
Local procrustes for manifold embedding: a measure of embedding quality and embedding algorithms. Mach. Learn. 77 (1) (2009)
Alon Zakai, Yaacov Ritov
Consistency and Localizability. J. Mach. Learn. Res. 10 (2009)
Thomas Trigano, Uri Isserles, Yaacov Ritov
Semiparametric shift estimation for alignment of ECG data. EUSIPCO (2008)
Yair Goldberg, Yaacov Ritov
LDR-LLE: LLE with Low-Dimensional Neighborhood Representation. ISVC (2) (2008)
Alon Zakai, Yaacov Ritov
How Local Should a Learning Method Be?. COLT (2008)
Yair Goldberg, Alon Zakai, Dan Kushnir, Yaacov Ritov
Manifold Learning: The Price of Normalization. J. Mach. Learn. Res. 9 (2008)
Daniel Gill, Yaacov Ritov, Gideon Dror
Is Pinocchio's Nose Long or His Head Small? Learning Shape Distances for Classification. ISVC (1) (2007)
Peter J. Bickel, Yaacov Ritov, Alon Zakai
Some Theory for Generalized Boosting Algorithms. J. Mach. Learn. Res. 7 (2006)
Gur Mosheiov, Daniel Oron, Yaacov Ritov
Minimizing flow-time on a single machine with integer batch sizes. Oper. Res. Lett. 33 (5) (2005)
Moshe Haviv, Yaacov Ritov
Homogeneous Customers Renege from Invisible Queues at Random Times under Deteriorating Waiting Conditions. Queueing Syst. Theory Appl. 38 (4) (2001)
Hanna Pasula, Stuart J. Russell, Michael Ostland, Yaacov Ritov
Tracking Many Objects with Many Sensors. IJCAI (1999)
Peter J. Bickel, Yaacov Ritov
Estimating linear functionals of a PET image. IEEE Trans. Medical Imaging 14 (1) (1995)
S. Barash, Yaacov Ritov
Logarithmic pruning of FFT frequencies. IEEE Trans. Signal Process. 41 (3) (1993)
Moshe Haviv, Yaacov Ritov
On Series Expansions and Stochastic Matrices. SIAM J. Matrix Anal. Appl. 14 (3) (1993)