Jan-Christian Hütter
Jan-Christian Hütter
Broad Institute
Verified email at broadinstitute.org - Homepage
Cited by
Cited by
High dimensional statistics
P Rigollet, JC Hütter
Lecture notes for course 18S997, 2015
Optimal rates for total variation denoising
JC Hütter, P Rigollet
Conference on Learning Theory, 1115-1146, 2016
Statistical optimal transport via factored couplings
A Forrow, JC Hütter, M Nitzan, P Rigollet, G Schiebinger, J Weed
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Minimax rates of estimation for smooth optimal transport maps
JC Hütter, P Rigollet
arXiv preprint arXiv:1905.05828, 2019
High dimensional statistics, 2017
P Rigollet, JC Hütter
URL http://www-math. mit. edu/~ rigollet/PDFs/RigNotes17. pdf, 0
Consistency of probability measure quantization by means of power repulsion–attraction potentials
M Fornasier, JC Hütter
Journal of Fourier Analysis and Applications 22 (3), 694-749, 2016
Lecture notes in high dimensional statistics
P Rigollet, JC Hütter
Zentralblatt MATH 1372, 2015
Statistical optimal transport via geodesic hubs
A Forrow, JC Hütter, M Nitzan, G Schiebinger, P Rigollet, J Weed
arXiv preprint arXiv:1806.07348, 2018
Estimation of Monge matrices
JC Hütter, C Mao, P Rigollet, E Robeva
Bernoulli 26 (4), 3051-3080, 2020
Optimal rates for estimation of two-dimensional totally positive distributions
JC Hütter, C Mao, P Rigollet, E Robeva
Electronic Journal of Statistics 14 (2), 2600-2652, 2020
Minimax estimation with structured data: shape constraints, causal models, and optimal transport
JCK Hütter
Massachusetts Institute of Technology, 2019
Asymptotic Behavior of Gradient Flows Driven by Nonlocal Power Repulsion and Attraction Potentials in One Dimension
M Di Francesco, M Fornasier, JC Hütter, D Matthes
SIAM Journal on Mathematical Analysis 46 (6), 3814-3837, 2014
Minimizers and Gradient Flows of Attraction-Repulsion Functionals with Power Kernels and Their Total Variation Regularization
JC Hütter
arXiv preprint arXiv:1310.1115, 2013
Estimation Rates for Sparse Linear Cyclic Causal Models
JC Hütter, P Rigollet
Conference on Uncertainty in Artificial Intelligence, 1169-1178, 2020
Methods and compositions for modulating innate lymphoid cell pathogenic effectors
A Regev, P Bielecki, R Flavell, M Kowalczyk, S Riesenfeld, JC Huetter, ...
US Patent App. 16/681,050, 2020
Notes on Adaptive Estimation with Lepski’s Method
JC Hütter, C Mao
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