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Edoardo M. Airoldi
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Publications
- 2022
- [i20]Christina Lee Yu, Edoardo M. Airoldi, Christian Borgs
, Jennifer T. Chayes
:
Graph Agnostic Randomized Experimental Design. CoRR abs/2205.12803 (2022) - 2019
- [j18]Edward K. Kao
, Steven Thomas Smith
, Edoardo M. Airoldi
:
Hybrid Mixed-Membership Blockmodel for Inference on Realistic Network Interactions. IEEE Trans. Netw. Sci. Eng. 6(3): 336-350 (2019) - 2018
- [c34]Jean Pouget-Abadie, Vahab S. Mirrokni, David C. Parkes, Edoardo M. Airoldi:
Optimizing Cluster-based Randomized Experiments under Monotonicity. KDD 2018: 2090-2099 - 2017
- [c31]Martin Saveski, Jean Pouget-Abadie, Guillaume Saint-Jacques, Weitao Duan, Souvik Ghosh, Ya Xu, Edoardo M. Airoldi:
Detecting Network Effects: Randomizing Over Randomized Experiments. KDD 2017: 1027-1035 - 2016
- [c30]Panos Toulis, Dustin Tran, Edoardo M. Airoldi:
Towards Stability and Optimality in Stochastic Gradient Descent. AISTATS 2016: 1290-1298 - [p1]Panos Toulis, Edoardo M. Airoldi:
Stochastic Gradient Methods for Principled Estimation with Large Datasets. Handbook of Big Data 2016: 241-265 - 2015
- [j14]Yarden Katz, Eric T. Wang
, Jacob Silterra
, Schraga Schwartz
, Bang Wong, Helga Thorvaldsdóttir, James T. Robinson, Jill P. Mesirov, Edoardo M. Airoldi, Christopher B. Burge:
Quantitative visualization of alternative exon expression from RNA-seq data. Bioinform. 31(14): 2400-2402 (2015) - [j13]Panos Toulis
, Edoardo M. Airoldi
:
Scalable estimation strategies based on stochastic approximations: classical results and new insights. Stat. Comput. 25(4): 781-795 (2015) - [c25]Dustin Tran, David M. Blei, Edoardo M. Airoldi:
Copula variational inference. NIPS 2015: 3564-3572 - [i18]Panos Toulis, Dustin Tran, Edoardo M. Airoldi:
Stability and optimality in stochastic gradient descent. CoRR abs/1505.02417 (2015) - [i17]Dustin Tran, David M. Blei, Edoardo M. Airoldi:
Variational inference with copula augmentation. CoRR abs/1506.03159 (2015) - [i16]Guillaume W. Basse, Edoardo M. Airoldi:
Optimal design of experiments in the presence of network-correlated outcomes. CoRR abs/1507.00803 (2015) - 2014
- [c22]Panagiotis Toulis, Edoardo M. Airoldi, Jason Rennie:
Statistical analysis of stochastic gradient methods for generalized linear models. ICML 2014: 667-675 - [c21]Elham Azizi, Edoardo M. Airoldi, James E. Galagan:
Learning Modular Structures from Network Data and Node Variables. ICML 2014: 1440-1448 - [e2]Edoardo M. Airoldi, David M. Blei, Elena A. Erosheva, Stephen E. Fienberg:
Handbook of Mixed Membership Models and Their Applications. Chapman and Hall/CRC 2014, ISBN 978-1-4665-0408-0 [contents] - [r2]Edoardo M. Airoldi, David M. Blei, Elena A. Erosheva, Stephen E. Fienberg:
Introduction to Mixed Membership Models and Methods. Handbook of Mixed Membership Models and Their Applications 2014: 3-13 - [i14]Elham Azizi, James E. Galagan, Edoardo M. Airoldi:
Learning modular structures from network data and node variables. CoRR abs/1405.2566 (2014) - [i12]Aviv Tamar, Panos Toulis, Shie Mannor, Edoardo M. Airoldi:
Implicit Temporal Differences. CoRR abs/1412.6734 (2014) - 2012
- [c17]Hossein Azari Soufiani, Edoardo M. Airoldi:
Graphlet decomposition of a weighted network. AISTATS 2012: 54-63 - [i10]Hossein Azari Soufiani, Edoardo M. Airoldi:
Graphlet decomposition of a weighted network. CoRR abs/1203.2821 (2012) - 2011
- [j12]Edoardo M. Airoldi, Katherine A. Heller, Ricardo Bezerra de Andrade e Silva:
Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning. Bioinform. 27(13): 374-382 (2011) - 2010
- [j8]Florian Markowetz
, Klaas W. Mulder, Edoardo M. Airoldi, Ihor Lemischka, Olga G. Troyanskaya
:
Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-Depleted Murine Embryonic Stem Cells. PLoS Comput. Biol. 6(12) (2010) - 2009
- [j7]Zafer Barutçuoglu, Edoardo M. Airoldi, Vanessa Dumeaux
, Robert E. Schapire, Olga G. Troyanskaya
:
Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields. Bioinform. 25(10): 1307-1313 (2009) - [j6]Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg, Edoardo M. Airoldi:
A Survey of Statistical Network Models. Found. Trends Mach. Learn. 2(2): 129-233 (2009) - [j5]Edoardo M. Airoldi
, Curtis Huttenhower
, David Gresham, Charles Lu, Amy A. Caudy
, Maitreya J. Dunham
, James R. Broach
, David Botstein, Olga G. Troyanskaya
:
Predicting Cellular Growth from Gene Expression Signatures. PLoS Comput. Biol. 5(1) (2009) - [i4]Ricardo Bezerra de Andrade e Silva, Katherine A. Heller, Zoubin Ghahramani, Edoardo M. Airoldi:
Ranking Relations using Analogies in Biological and Information Networks. CoRR abs/0912.5193 (2009) - [i3]Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg, Edoardo M. Airoldi:
A survey of statistical network models. CoRR abs/0912.5410 (2009) - 2008
- [j4]Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing:
Mixed Membership Stochastic Blockmodels. J. Mach. Learn. Res. 9: 1981-2014 (2008) - [c12]Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing:
Mixed Membership Stochastic Blockmodels. NIPS 2008: 33-40 - 2007
- [e1]Edoardo M. Airoldi
, David M. Blei, Stephen E. Fienberg, Anna Goldenberg, Eric P. Xing, Alice X. Zheng:
Statistical Network Analysis: Models, Issues, and New Directions - ICML 2006 Workshop on Statistical Network Analysis, Pittsburgh, PA, USA, June 29, 2006, Revised Selected Papers. Lecture Notes in Computer Science 4503, Springer 2007, ISBN 978-3-540-73132-0 [contents] - [i2]Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg, Eric P. Xing:
Mixed membership stochastic blockmodels. CoRR abs/0705.4485 (2007) - 2006
- [c9]Edoardo M. Airoldi
, David M. Blei, Stephen E. Fienberg, Eric P. Xing:
Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis. SNA@ICML 2006: 57-74 - 2005
- [c4]Edoardo M. Airoldi
, David M. Blei, Eric P. Xing, Stephen E. Fienberg:
A latent mixed membership model for relational data. LinkKDD 2005: 82-89 - 2004
- [c2]Edoardo M. Airoldi
, Christos Faloutsos
:
Recovering latent time-series from their observed sums: network tomography with particle filters. KDD 2004: 30-39

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