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ORCIDYaacov Ritov
Person information
- affiliation: Hebrew University of Jerusalem, Israel
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2020 – today
- 2024
[c7]Seamus Somerstep
, Yaacov Ritov, Yuekai Sun:
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness. FAccT 2024: 616-630- [c6]Seamus Somerstep, Yuekai Sun, Yaacov Ritov:
Learning in reverse causal strategic environments with ramifications on two sided markets. ICLR 2024 - [i5]Seamus Somerstep, Yuekai Sun, Yaacov Ritov:
Learning In Reverse Causal Strategic Environments With Ramifications on Two Sided Markets. CoRR abs/2404.13240 (2024) - [i4]Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun:
A statistical framework for weak-to-strong generalization. CoRR abs/2405.16236 (2024) - [i3]Seamus Somerstep, Yaacov Ritov, Yuekai Sun:
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness. CoRR abs/2405.20447 (2024) - 2021
- [j16]Hamid Eftekhari, Moulinath Banerjee, Yaacov Ritov:
Inference In High-dimensional Single-Index Models Under Symmetric Designs. J. Mach. Learn. Res. 22: 27:1-27:63 (2021) - [i2]Junhui Cai, Xu Han, Yaacov Ritov, Linda Zhao:
Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals. CoRR abs/2106.08881 (2021)
2010 – 2019
- 2017
- [j15]Daniel Nevo, Yaacov Ritov:
Identifying a Minimal Class of Models for High-dimensional Data. J. Mach. Learn. Res. 18: 24:1-24:29 (2017) - [j14]Thomas Trigano, Yann Sepulcre, Yaacov Ritov:
Sparse Reconstruction Algorithm for Nonhomogeneous Counting Rate Estimation. IEEE Trans. Signal Process. 65(2): 372-385 (2017) - [i1]Yaacov Ritov, Yuekai Sun, Ruofei Zhao:
On conditional parity as a notion of non-discrimination in machine learning. CoRR abs/1706.08519 (2017) - 2015
- [j13]Wolfgang K. Härdle, Yaacov Ritov, Weining Wang:
Tie the straps: Uniform bootstrap confidence bands for semiparametric additive models. J. Multivar. Anal. 134: 129-145 (2015) - 2013
- [j12]Yann Sepulcre, Thomas Trigano, Yaacov Ritov:
Sparse Regression Algorithm for Activity Estimation in γ Spectrometry. IEEE Trans. Signal Process. 61(17): 4347-4359 (2013) - 2012
- [j11]Song Song, Yaacov Ritov, Wolfgang K. Härdle:
Bootstrap confidence bands and partial linear quantile regression. J. Multivar. Anal. 107: 244-262 (2012) - 2011
- [j10]Thomas Trigano, Uri Isserles, Yaacov Ritov:
Semiparametric Curve Alignment and Shift Density Estimation for Biological Data. IEEE Trans. Signal Process. 59(5): 1970-1984 (2011)
2000 – 2009
- 2009
- [j9]Alon Zakai, Yaacov Ritov:
Consistency and Localizability. J. Mach. Learn. Res. 10: 827-856 (2009) - [j8]Yair Goldberg, Yaacov Ritov:
Local procrustes for manifold embedding: a measure of embedding quality and embedding algorithms. Mach. Learn. 77(1): 1-25 (2009) - 2008
- [j7]Yair Goldberg, Alon Zakai, Dan Kushnir, Yaacov Ritov:
Manifold Learning: The Price of Normalization. J. Mach. Learn. Res. 9: 1909-1939 (2008) - [c5]Alon Zakai, Yaacov Ritov:
How Local Should a Learning Method Be?. COLT 2008: 205-216 - [c4]Thomas Trigano, Uri Isserles, Yaacov Ritov:
Semiparametric shift estimation for alignment of ECG data. EUSIPCO 2008: 1-5 - [c3]Yair Goldberg, Yaacov Ritov:
LDR-LLE: LLE with Low-Dimensional Neighborhood Representation. ISVC (2) 2008: 43-54 - 2007
- [c2]Daniel Gill, Yaacov Ritov, Gideon Dror:
Is Pinocchio's Nose Long or His Head Small? Learning Shape Distances for Classification. ISVC (1) 2007: 652-661 - 2006
- [j6]Peter J. Bickel, Yaacov Ritov, Alon Zakai:
Some Theory for Generalized Boosting Algorithms. J. Mach. Learn. Res. 7: 705-732 (2006) - 2005
- [j5]Gur Mosheiov, Daniel Oron, Yaacov Ritov:
Minimizing flow-time on a single machine with integer batch sizes. Oper. Res. Lett. 33(5): 497-501 (2005) - 2001
- [j4]Moshe Haviv, Yaacov Ritov:
Homogeneous Customers Renege from Invisible Queues at Random Times under Deteriorating Waiting Conditions. Queueing Syst. Theory Appl. 38(4): 495-508 (2001)
1990 – 1999
- 1999
- [c1]Hanna Pasula, Stuart Russell, Michael Ostland, Yaacov Ritov:
Tracking Many Objects with Many Sensors. IJCAI 1999: 1160-1171 - 1995
- [j3]Peter J. Bickel, Yaacov Ritov:
Estimating linear functionals of a PET image. IEEE Trans. Medical Imaging 14(1): 81-87 (1995) - 1993
- [j2]Moshe Haviv, Yaacov Ritov:
On Series Expansions and Stochastic Matrices. SIAM J. Matrix Anal. Appl. 14(3): 670-676 (1993) - [j1]S. Barash, Yaacov Ritov:
Logarithmic pruning of FFT frequencies. IEEE Trans. Signal Process. 41(3): 1398-1400 (1993)
Coauthor Index
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