Dimitrios Katselis

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All published works

Action	Title	Year	Authors
+	A Provably Improved Algorithm for Crowdsourcing with Hard and Easy Tasks	2023	Seo Taek Kong Saptarshi Mandal Dimitrios Katselis R. Srikant
+ PDF Chat	On concentration inequalities for vector-valued Lipschitz functions	2021	Dimitrios Katselis Xiaotian Xie Carolyn L. Beck R. Srikant
+ PDF Chat	On the Consistency of Maximum Likelihood Estimators for Causal Network Identification	2021	Xiaotian Xie Dimitrios Katselis Carolyn L. Beck R. Srikant
+	On Concentration Inequalities for Vector-Valued Lipschitz Functions	2021	Dimitrios Katselis Xiaotian Xie Carolyn L. Beck R. Srikant
+ PDF Chat	On the Consistency of Maximum Likelihood Estimators for Causal Network Identification	2020	Xiaotian Xie Dimitrios Katselis Carolyn L. Beck R. Srikant
+	On the Consistency of Maximum Likelihood Estimators for Causal Network Identification	2020	Xiaotian Xie Dimitrios Katselis Carolyn L. Beck R. Srikant
+ PDF Chat	A data augmentation approach for a class of statistical inference problems	2018	Rodrigo Carvajal Rafael Orellana Dimitrios Katselis Pedro Escárate Juan C. Agüero
+ PDF Chat	Mixing Times and Structural Inference for Bernoulli Autoregressive Processes	2018	Dimitrios Katselis Carolyn L. Beck R. Srikant
+	An optimization-oriented framework for a class of system identification problems utilizing data augmentation	2016	Juan C. Agüero Rodrigo Carvajal Boris I. Godoy Dimitrios Katselis
+	A systematic optimization approach for a class of statistical inference problems utilizing data augmentation	2016	Rodrigo Carvajal Rafael Orellana Dimitrios Katselis Pedro Escárate Juan C. Agüero
+	Mixing Times and Structural Inference for Bernoulli Autoregressive Processes	2016	Dimitrios Katselis Carolyn L. Beck R. Srikant
+	Estimator Selection: End-Performance Metric Aspects	2015	Dimitrios Katselis Cristian R. Rojas Carolyn L. Beck
+ PDF Chat	Estimator selection: End-performance metric aspects	2015	Dimitrios Katselis Cristian R. Rojas Carolyn L. Beck
+	A MAP approach for $\ell_q$-norm regularized sparse parameter estimation using the EM algorithm	2015	Rodrigo Carvajal Juan C. Agüero Boris I. Godoy Dimitrios Katselis
+	Estimator Selection: End-Performance Metric Aspects	2015	Dimitrios Katselis Cristian R. Rojas Carolyn L. Beck
+ PDF Chat	Training sequence design for MIMO channels: an application-oriented approach	2013	Dimitrios Katselis Cristian R. Rojas Mats Bengtsson Emil Björnson Xavier Bombois Nafiseh Shariati Magnus Jansson Håkan Hjalmarsson
+ PDF Chat	A Note on the SPICE Method	2013	Cristian R. Rojas Dimitrios Katselis Håkan Hjalmarsson
+	On the Design of Channel Estimators for given Signal Estimators and Detectors	2013	Dimitrios Katselis Cristian R. Rojas Håkan Hjalmarsson Mats Bengtsson Mikael Skoglund
+ PDF Chat	Preamble-based channel estimation in OFDM/OQAM systems: A review	2013	Eleftherios Kofidis Dimitrios Katselis Athanasios A. Rontogiannis Sergios Theodoridis
+	Training Sequence Design for MIMO Channels: An Application-Oriented Approach	2013	Dimitrios Katselis Cristian R. Rojas Mats Bengtsson Emil Björnson Xavier Bombois Nafiseh Shariati Magnus Jansson Håkan Hjalmarsson
+	Preamble-based Channel Estimation in OFDM/OQAM Systems: A Review	2013	Eleftherios Kofidis Dimitrios Katselis Athanasios A. Rontogiannis Sergios Theodoridis
+	On the Design of Channel Estimators for given Signal Estimators and Detectors	2013	Dimitrios Katselis Cristian R. Rojas Håkan Hjalmarsson Mats Bengtsson Mikael Skoglund
+	Training Sequence Design for MIMO Channels: An Application-Oriented Approach	2013	Dimitrios Katselis Cristian R. Rojas Mats Bengtsson Emil Björnson Xavier Bombois Nafiseh Shariati Magnus Jansson Håkan Hjalmarsson
+	A Chernoff relaxation on the problem of application-oriented finite sample experiment design	2012	Dimitrios Katselis Cristian R. Rojas Håkan Hjalmarsson Mats Bengtsson
+ PDF Chat	Preamble-Based Channel Estimation for CP-OFDM and OFDM/OQAM Systems: A Comparative Study	2010	Dimitrios Katselis Eleftherios Kofidis Athanasios A. Rontogiannis Sergios Theodoridis

Common Coauthors

Coauthor	Papers Together
Carolyn L. Beck	10
Cristian R. Rojas	10
R. Srikant	7
Håkan Hjalmarsson	7
Mats Bengtsson	6
Xiaotian Xie	5
Juan C. Agüero	4
Rodrigo Carvajal	4
Xavier Bombois	3
Magnus Jansson	3
Nafiseh Shariati	3
Eleftherios Kofidis	3
Emil Björnson	3
Athanasios A. Rontogiannis	3
Sergios Theodoridis	3
Boris I. Godoy	2
Rafael Orellana	2
Pedro Escárate	2
Mikael Skoglund	2
Saptarshi Mandal	1
R. Srikant	1
Seo Taek Kong	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Directed Information Graphs	2015	Christopher J. Quinn Negar Kiyavash Todd P. Coleman	5
+	ALARM: A logistic auto-regressive model for binary processes on networks	2013	Ameya Agaskar Yue M. Lu	5
+ PDF Chat	Model identification of a network as compressing sensing	2013	Donatello Materassi Giacomo Innocenti L. Giarré Murti V. Salapaka	4
+	The EM Algorithm and Extensions	1998	Debashis Kushary Geoffrey J. McLachlan Thriyambakam Krishnan	4
+	Inferring Graphs from Cascades: A Sparse Recovery Framework	2015	Jean Pouget-Abadie Thibaut Horel	4
+ PDF Chat	Graph Implementations for Nonsmooth Convex Programs	2007	Michael C. Grant Stephen Boyd	4
+	Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues	2000	John Odentrantz	4
+	Normal Variance-Mean Mixtures and z Distributions	1982	Ole E. Barndorff‐Nielsen John T. Kent Michael Sørensen Michael Sørensen	4
+ PDF Chat	Data augmentation for non-Gaussian regression models using variance-mean mixtures	2013	Nick Polson James G. Scott	4
+	On scale mixtures of normal distributions	1987	Mike West	4
+ PDF Chat	Optimal experimental design and some related control problems	2007	Luc Pronzato	3
+ PDF Chat	A majorization-minimization approach to the sparse generalized eigenvalue problem	2010	Bharath K. Sriperumbudur David A. Torres Gert Lanckriet	3
+	PARAMETER CONVERGENCE FOR EM AND MM ALGORITHMS	2005	Florin Vaida	3
+	Estimation in the Birnbaum-Saunders distribution based on scale-mixture of normals and the EM-algorithm	2009	N. Balakrishnan Víctor Leiva Antonio Sanhueza Filidor Vilca	3
+	Random variate generation from Multivariate Exponential Power distribution	2004	Nadia Solaro	3
+ PDF Chat	Non-Bayesian social learning	2012	Ali Jadbabaie Pooya Molavi Alvaro Sandroni Alireza Tahbaz-Salehi	3
+ PDF Chat	Preamble-Based Channel Estimation for CP-OFDM and OFDM/OQAM Systems: A Comparative Study	2010	Dimitrios Katselis Eleftherios Kofidis Athanasios A. Rontogiannis Sergios Theodoridis	3
+	A Tutorial on MM Algorithms	2004	David R. Hunter Kenneth Lange	3
+ PDF Chat	Analysis and Control of Epidemics: A Survey of Spreading Processes on Complex Networks	2016	Cameron Nowzari Víctor M. Preciado George J. Pappas	3
+ PDF Chat	Stock market trading via stochastic network optimization	2010	Michael J. Neely	3
+	Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm	2014	Hadi Daneshmand Manuel Gomez-Rodriguez Le Song Bernhard Schoelkopf	3
+	Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm	2014	Hadi Daneshmand Manuel Gomez-Rodriguez Le Song Bernhard Schoelkopf	3
+	Technical Note—A General Inner Approximation Algorithm for Nonconvex Mathematical Programs	1978	Barry R. Marks Gordon P. Wright	3
+ PDF Chat	Trace complexity of network inference	2013	Bruno Abrahão Flavio Chierichetti Robert Kleinberg Alessandro Panconesi	3
+ PDF Chat	Mixing Times and Structural Inference for Bernoulli Autoregressive Processes	2018	Dimitrios Katselis Carolyn L. Beck R. Srikant	3
+ PDF Chat	Topological Identification in Networks of Dynamical Systems	2010	Donatello Materassi Giacomo Innocenti	3
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	3
+ PDF Chat	Parametric fractional imputation for mixed models with nonignorable missing data	2013	Shu Yang Jaekwang Kim Zhengyuan Zhu	3
+	The Art of Data Augmentation	2001	David A. van Dyk Xiao‐Li Meng	3
+	Normal/Independent Distributions and Their Applications in Robust Regression	1993	Kenneth Lange Janet S. Sinsheimer	3
+ PDF Chat	Monte Carlo Statistical Methods	2000	Hoon Kim Christian P. Robert George Casella	3
+	Probability: Theory and Examples.	1992	Kathryn Prewitt Richard Durrett	3
+	Statistical Inference for Engineers and Data Scientists	2018	Pierre Moulin Venugopal V. Veeravalli	3
+ PDF Chat	Inferring Networks of Diffusion and Influence	2012	Manuel Gomez-Rodriguez Jure Leskovec Andreas Krause	3
+	Exponential Integrability and Transportation Cost Related to Logarithmic Sobolev Inequalities	1999	Sergey G. Bobkov Friedrich Götze	2
+	The Bayesian Lasso	2008	Trevor Park George Casella	2
+	Convergence Rates for Markov Chains	1995	Jeffrey S. Rosenthal	2
+	Probability in High Dimension	2014	Ramon van Handel	2
+	The Variational Bayesian EM Algorithm for Incomplete Data: With Application to Scoring Graphical Model Structures	2003	Matthew J. Beal Zoubin Ghahramani	2
+	A lower bound for discrimination information in terms of variation (Corresp.)	1967	S. Kullback	2
+	Learning Networks of Stochastic Differential Equations	2010	José Bento Morteza Ibrahimi Andrea Montanari	2
+ PDF Chat	Inequalities: Theory of Majorization and its Applications.	1981	Barry C. Arnold Albert W. Marshall Ingram Olkin	2
+	A polyhedral branch-and-cut approach to global optimization	2005	Mohit Tawarmalani Nikolaos V. Sahinidis	2
+ PDF Chat	Concentration inequalities for Markov chains by Marton couplings and spectral methods	2015	Daniel Paulin	2
+ PDF Chat	Information-Theoretic Limits of Selecting Binary Graphical Models in High Dimensions	2012	Narayana Santhanam Martin J. Wainwright	2
+ PDF Chat	Training sequence design for MIMO channels: an application-oriented approach	2013	Dimitrios Katselis Cristian R. Rojas Mats Bengtsson Emil Björnson Xavier Bombois Nafiseh Shariati Magnus Jansson Håkan Hjalmarsson	2
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	2
+	On Model Selection Consistency of Lasso	2006	Peng Zhao Bin Yu	2
+ PDF Chat	Causal Network Inference by Optimal Causation Entropy	2015	Jie Sun Dane Taylor Erik M. Bollt	2
+ PDF Chat	Bounding $\bar{d}$-distance by informational divergence: a method to prove measure concentration	1996	K. Marton	2