Yaacov Ritov

30 papers A* 4Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
A transfer learning framework for weak to strong generalization.
ICLR
Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun
2025 J jnl
Limitations of refinement methods for weak to strong generalization.
CoRR
Seamus Somerstep, Yaacov Ritov, Mikhail Yurochkin, Subha Maity, Yuekai Sun
2024 J jnl
A statistical framework for weak-to-strong generalization.
CoRR
Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun
2024 — conf
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness.
FAccT
Seamus Somerstep, Yaacov Ritov, Yuekai Sun
2024 J jnl
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness.
CoRR
Seamus Somerstep, Yaacov Ritov, Yuekai Sun
2024 J jnl
Learning In Reverse Causal Strategic Environments With Ramifications on Two Sided Markets.
CoRR
Seamus Somerstep, Yuekai Sun, Yaacov Ritov
2024 A* conf
Learning in reverse causal strategic environments with ramifications on two sided markets.
ICLR
Seamus Somerstep, Yuekai Sun, Yaacov Ritov
2021 J jnl
Inference In High-dimensional Single-Index Models Under Symmetric Designs.
J. Mach. Learn. Res.
Hamid Eftekhari, Moulinath Banerjee, Yaacov Ritov
2021 J jnl
Nonparametric Empirical Bayes Estimation and Testing for Sparse and Heteroscedastic Signals.
CoRR
Junhui Cai, Xu Han, Yaacov Ritov, Linda Zhao
2017 J jnl
Identifying a Minimal Class of Models for High-dimensional Data.
J. Mach. Learn. Res.
Daniel Nevo, Yaacov Ritov
2017 J jnl
On conditional parity as a notion of non-discrimination in machine learning.
CoRR
Yaacov Ritov, Yuekai Sun, Ruofei Zhao
2017 J jnl
Sparse Reconstruction Algorithm for Nonhomogeneous Counting Rate Estimation.
IEEE Trans. Signal Process.
Thomas Trigano, Yann Sepulcre, Yaacov Ritov
2015 J jnl
Tie the straps: Uniform bootstrap confidence bands for semiparametric additive models.
J. Multivar. Anal.
Wolfgang K. Härdle, Yaacov Ritov, Weining Wang
2013 J jnl
Sparse Regression Algorithm for Activity Estimation in γ Spectrometry.
IEEE Trans. Signal Process.
Yann Sepulcre, Thomas Trigano, Yaacov Ritov
2012 J jnl
Bootstrap confidence bands and partial linear quantile regression.
J. Multivar. Anal.
Song Song, Yaacov Ritov, Wolfgang K. Härdle
2011 J jnl
Semiparametric Curve Alignment and Shift Density Estimation for Biological Data.
IEEE Trans. Signal Process.
Thomas Trigano, Uri Isserles, Yaacov Ritov
2009 J jnl
Consistency and Localizability.
J. Mach. Learn. Res.
Alon Zakai, Yaacov Ritov
2009 J jnl
Local procrustes for manifold embedding: a measure of embedding quality and embedding algorithms.
Mach. Learn.
Yair Goldberg, Yaacov Ritov
2008 A* conf
How Local Should a Learning Method Be?.
COLT
Alon Zakai, Yaacov Ritov
2008 — conf
LDR-LLE: LLE with Low-Dimensional Neighborhood Representation.
ISVC (2)
Yair Goldberg, Yaacov Ritov
2008 J jnl
Manifold Learning: The Price of Normalization.
J. Mach. Learn. Res.
Yair Goldberg, Alon Zakai, Dan Kushnir, Yaacov Ritov
2008 — conf
Semiparametric shift estimation for alignment of ECG data.
EUSIPCO
Thomas Trigano, Uri Isserles, Yaacov Ritov
2007 — conf
Is Pinocchio's Nose Long or His Head Small? Learning Shape Distances for Classification.
ISVC (1)
Daniel Gill, Yaacov Ritov, Gideon Dror
2006 J jnl
Some Theory for Generalized Boosting Algorithms.
J. Mach. Learn. Res.
Peter J. Bickel, Yaacov Ritov, Alon Zakai
2005 J jnl
Minimizing flow-time on a single machine with integer batch sizes.
Oper. Res. Lett.
Gur Mosheiov, Daniel Oron, Yaacov Ritov
2001 J jnl
Homogeneous Customers Renege from Invisible Queues at Random Times under Deteriorating Waiting Conditions.
Queueing Syst. Theory Appl.
Moshe Haviv, Yaacov Ritov
1999 A* conf
Tracking Many Objects with Many Sensors.
IJCAI
Hanna Pasula, Stuart Russell, Michael Ostland, Yaacov Ritov
1995 J jnl
Estimating linear functionals of a PET image.
IEEE Trans. Medical Imaging
Peter J. Bickel, Yaacov Ritov
1993 J jnl
Logarithmic pruning of FFT frequencies.
IEEE Trans. Signal Process.
S. Barash, Yaacov Ritov
1993 J jnl
On Series Expansions and Stochastic Matrices.
SIAM J. Matrix Anal. Appl.
Moshe Haviv, Yaacov Ritov