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ORCIDCosma Rohilla Shalizi
Person information
- affiliation: Carnegie Mellon University, Department of Statistics
- affiliation: University of Michigan, Center for the Study of Complex Systems
- affiliation: Santa Fe Institute
- affiliation: University of Wisconsin at Madison, Physics Department
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2020 – today
- 2021
[j7]Octavio César Mesner
, Cosma Rohilla Shalizi:
Conditional Mutual Information Estimation for Mixed, Discrete and Continuous Data. IEEE Trans. Inf. Theory 67(1): 464-484 (2021)
2010 – 2019
- 2017
- [j6]Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish:
Nonparametric Risk Bounds for Time-Series Forecasting. J. Mach. Learn. Res. 18: 32:1-32:40 (2017) - [c11]George D. Montañez, Cosma Rohilla Shalizi:
The LICORS cabinet: Nonparametric light cone methods for spatio-temporal modeling. IJCNN 2017: 2811-2819 - [i18]Cosma Rohilla Shalizi, Dena Marie Asta:
Consistency of Maximum Likelihood for Continuous-Space Network Models. CoRR abs/1711.02123 (2017) - 2016
- [j5]Christopher N. Warren, Daniel Shore, Jessica Otis, Lawrence Wang, Mike Finegold, Cosma Rohilla Shalizi:
Six Degrees of Francis Bacon: A Statistical Method for Reconstructing Large Historical Social Networks. Digit. Humanit. Q. 10(3) (2016) - [i17]Cosma Rohilla Shalizi, Edward McFowland III:
Controlling for Latent Homophily in Social Networks through Inferring Latent Locations. CoRR abs/1607.06565 (2016) - 2015
- [c10]Dena Marie Asta, Cosma Rohilla Shalizi:
Geometric Network Comparisons. UAI 2015: 102-110 - [i16]George D. Montañez, Cosma Rohilla Shalizi:
The LICORS Cabinet: Nonparametric Algorithms for Spatio-temporal Prediction. CoRR abs/1506.02686 (2015) - 2014
- [i15]Cosma Rohilla Shalizi, Kristina Lisa Klinkner:
Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences. CoRR abs/1408.2025 (2014) - 2013
- [c9]Georg M. Goerg, Cosma Rohilla Shalizi:
Mixed LICORS: A Nonparametric Algorithm for Predictive State Reconstruction. AISTATS 2013: 289-297 - [c8]Michael Andrew Finegold, Christopher N. Warren, Cosma Rohilla Shalizi, Daniel Shore, Lawrence Wang:
Six Degrees of Francis Bacon. DH 2013: 182-183 - [c7]Cosma Rohilla Shalizi, Aryeh Kontorovich:
Predictive PAC Learning and Process Decompositions. NIPS 2013: 1619-1627 - 2012
- [i14]Xiaoran Yan, Jacob E. Jensen, Florent Krzakala, Cristopher Moore, Cosma Rohilla Shalizi, Lenka Zdeborová, Pan Zhang, Yaojia Zhu:
Model Selection for Degree-corrected Block Models. CoRR abs/1207.3994 (2012) - [i13]Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish:
Time series forecasting: model evaluation and selection using nonparametric risk bounds. CoRR abs/1212.0463 (2012) - 2011
- [c6]Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish:
Estimating beta-mixing coefficients. AISTATS 2011: 516-524 - [i12]Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish:
Estimating beta-mixing coefficients. CoRR abs/1103.0941 (2011) - [i11]Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish:
Generalization error bounds for stationary autoregressive models. CoRR abs/1103.0942 (2011) - [i10]Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Clauset:
Adapting to Non-stationarity with Growing Expert Ensembles. CoRR abs/1103.0949 (2011) - [i9]Daniel J. McDonald, Cosma Rohilla Shalizi, Mark J. Schervish:
Risk bounds for time series without strong mixing. CoRR abs/1106.0730 (2011) - 2010
- [j4]Robert Haslinger, Kristina Lisa Klinkner, Cosma Rohilla Shalizi:
The Computational Structure of Spike Trains. Neural Comput. 22(1): 121-157 (2010) - [i8]Robert Haslinger, Kristina Lisa Klinkner, Cosma Rohilla Shalizi:
The Computational Structure of Spike Trains. CoRR abs/1001.0036 (2010) - [i7]Cosma Rohilla Shalizi, Andrew C. Thomas:
Homophily and Contagion Are Generically Confounded in Observational Social Network Studies. CoRR abs/1004.4704 (2010)
2000 – 2009
- 2009
- [j3]Aaron Clauset, Cosma Rohilla Shalizi, Mark E. J. Newman:
Power-Law Distributions in Empirical Data. SIAM Rev. 51(4): 661-703 (2009) - 2008
- [c5]Cosma Rohilla Shalizi:
Social Media as Windows on the Social Life of the Mind. AAAI Spring Symposium: Social Information Processing 2008: 87-92 - 2007
- [i6]Cosma Rohilla Shalizi:
Social Media as Windows on the Social Life of the Mind. CoRR abs/0710.4911 (2007) - 2006
- [c4]Cosma Rohilla Shalizi, Marcelo F. Camperi, Kristina Lisa Klinkner:
Discovering Functional Communities in Dynamical Networks. SNA@ICML 2006: 140-157 - 2005
- [j2]Michael T. Gastner, Cosma Rohilla Shalizi, Mark E. J. Newman:
Maps and Cartograms of the 2004 US Presidential Election Results. Adv. Complex Syst. 8(1): 117-123 (2005) - [c3]Kristina Lisa Klinkner, Cosma Rohilla Shalizi, Marcelo Camperi:
Measuring Shared Information and Coordinated Activity in Neuronal Networks. NIPS 2005: 667-674 - 2004
- [c2]Cosma Rohilla Shalizi, Kristina Lisa Shalizi:
Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences. UAI 2004: 504-511 - [i5]Cosma Rohilla Shalizi, Kristina Lisa Shalizi:
Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences. CoRR cs.LG/0406011 (2004) - 2003
- [c1]Cosma Rohilla Shalizi:
Optimal Nonlinear Prediction of Random Fields on Networks. DMCS 2003: 11-30 - 2002
- [j1]Cosma Rohilla Shalizi, James P. Crutchfield:
Information Bottlenecks, Causal States, and Statistical Relevance Bases: How to Represent Relevant Information in memoryless transduction. Adv. Complex Syst. 5(1): 91-96 (2002) - [i4]Cosma Rohilla Shalizi, Kristina Lisa Shalizi, James P. Crutchfield:
An Algorithm for Pattern Discovery in Time Series. CoRR cs.LG/0210025 (2002) - 2000
- [i3]Cosma Rohilla Shalizi, James P. Crutchfield:
Pattern Discovery and Computational Mechanics. CoRR cs.LG/0001027 (2000) - [i2]Cosma Rohilla Shalizi, James P. Crutchfield:
Information Bottlenecks, Causal States, and Statistical Relevance Bases: How to Represent Relevant Information in Memoryless Transduction. CoRR nlin.AO/0006025 (2000)
1990 – 1999
- 1999
- [i1]Cosma Rohilla Shalizi, James P. Crutchfield:
Computational Mechanics: Pattern and Prediction, Structure and Simplicity. CoRR cond-mat/9907176 (1999)
Coauthor Index
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