Sergey Kirshner
Sergey Kirshner
Applied Scientist, Amazon
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
Downscaling of daily rainfall occurrence over northeast Brazil using a hidden Markov model
AW Robertson, S Kirshner, P Smyth
Journal of climate 17 (22), 4407-4424, 2004
2002004
Learning with tree-averaged densities and distributions
S Kirshner
Neural Information Processing Systems (NIPS), 2007
652007
Modeling of multivariate time series using hidden Markov models
S Kirshner
University of California, Irvine, 2005
652005
Conditional Chow-Liu tree structures for modeling discrete-valued vector time series
S Kirshner, P Smyth, AW Robertson
Proceedings of the 20th conference on Uncertainty in artificial intelligence …, 2004
63*2004
Subseasonal‐to‐interdecadal variability of the Australian monsoon over North Queensland
AW Robertson, S Kirshner, P Smyth, SP Charles, BC Bates
Quarterly Journal of the Royal Meteorological Society 132 (615), 519-542, 2006
612006
Hidden Markov models for modeling daily rainfall occurrence over Brazil
AW Robertson, S Kirshner, P Smyth
Technical Report UCI-ICS, 3-27, 2003
502003
Analysis of Indian monsoon daily rainfall on subseasonal to multidecadal time‐scales using a hidden Markov model
AM Greene, AW Robertson, S Kirshner
Quarterly Journal of the Royal Meteorological Society 134 (633), 875-887, 2008
442008
Graphical models for statistical inference and data assimilation
AT Ihler, S Kirshner, M Ghil, AW Robertson, P Smyth
Physica D: Nonlinear Phenomena 230 (1-2), 72-87, 2007
412007
Probabilistic Assessment of Drought Characteristics Using Hidden Markov Model
G Mallya, S Tripathi, S Kirshner, RS Govindaraju
Journal of Hydrologic Engineering 18 (7), 834-845, 2012
372012
Daily rainfall projections from general circulation models with a downscaling nonhomogeneous hidden Markov model (NHMM) for south‐eastern Australia
G Fu, SP Charles, S Kirshner
Hydrological Processes 27 (25), 3663-3673, 2013
352013
Tied Kronecker product graph models to capture variance in network populations
S Moreno, S Kirshner, J Neville, SVN Vishwanathan
Communication, Control, and Computing (Allerton), 2010 48th Annual Allerton …, 2010
342010
ICA and ISA using Schweizer-Wolff measure of dependence
S Kirshner, B Póczos
Proceedings of the 25th international conference on Machine learning, 464-471, 2008
302008
Modelling runoff with statistically downscaled daily site, gridded and catchment rainfall series
G Fu, SP Charles, FHS Chiew, J Teng, H Zheng, AJ Frost, W Liu, ...
Journal of Hydrology 492, 254-265, 2013
262013
Adaptivity in agent-based routing for data networks
DH Wolpert, S Kirshner, CJ Merz, K Tumer
arXiv preprint cs/9912011, 1999
251999
REGO: Rank-based estimation of Rényi information using Euclidean graph optimization
B Póczos, S Kirshner, C Szepesvári
AISTATS, 2010
192010
Learning Mixed Kronecker Product Graph Models with Simulated Method of Moments
S Moreno, J Neville, S Kirshner
19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
162013
Infinite mixtures of trees
S Kirshner, P Smyth
Proceedings of the 24th international conference on Machine learning, 417-423, 2007
152007
A Scalable Method for Exact Sampling from Kronecker Family Models
S Moreno, JJ Pfeiffer III, J Neville, S Kirshner
International Conference on Data Mining (ICDM), 2014
112014
Learning to classify galaxy shapes using the EM algorithm
S Kirshner, IV Cadez, P Smyth, C Kamath
Advances in Neural Information Processing Systems, 1497-1504, 2002
92002
Latent Tree Copulas
S Kirshner
6th European Workshop on Probabilistic Graphical Models (PGM), 2012
82012
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Articles 1–20