Diana Cai

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All published works

Action	Title	Year	Authors
+ PDF Chat	EigenVI: score-based variational inference with orthogonal function expansions	2024	Diana Cai Chirag Modi Charles C. Margossian R. Michael Gower David M. Blei Lawrence K. Saul
+ PDF Chat	Batch, match, and patch: low-rank approximations for score-based variational inference	2024	Chirag Modi Diana Cai Lawrence K. Saul
+ PDF Chat	Probabilistic Prediction of Material Stability: Integrating Convex Hulls into Active Learning	2024	Andrew C. Novick Diana Cai Quan Dong Nguyen Roman Garnett Ryan P. Adams Eric S. Toberer
+ PDF Chat	Batch and match: black-box variational inference with a score-based divergence	2024	Diana Cai Chirag Modi Loucas Pillaud-Vivien Charles C. Margossian Robert M. Gower David M. Blei Lawrence K. Saul
+	Probabilistic Prediction of Material Stability: Integrating Convex Hulls into Active Learning	2024	Andrew C. Novick Diana Cai Quan Dong Nguyen Roman Garnett Ryan P. Adams Eric S. Toberer
+	Kernel Density Bayesian Inverse Reinforcement Learning	2023	Aishwarya Mandyam Didong Li Diana Cai Andrew Jones Barbara E. Engelhardt
+	Multi-fidelity Monte Carlo: a pseudo-marginal approach	2022	Diana Cai Ryan P. Adams
+	Active multi-fidelity Bayesian online changepoint detection	2021	Gregory W. Gundersen Diana Cai Chuteng Zhou Barbara E. Engelhardt Ryan P. Adams
+	Finite mixture models are typically inconsistent for the number of components	2020	Diana Cai Trevor Campbell Tamara Broderick
+	Finite mixture models do not reliably learn the number of components	2020	Diana Cai Trevor Campbell Tamara Broderick
+	Weighted Meta-Learning	2020	Diana Cai Rishit Sheth Lester Mackey Nicoló Fusi
+	Finite mixture models do not reliably learn the number of components	2020	Diana Cai Trevor Campbell Tamara Broderick
+	Exchangeable trait allocations	2018	Trevor Campbell Diana Cai Tamara Broderick
+	Exchangeable Trait Allocations	2016	Trevor Campbell Diana Cai Tamara Broderick
+	Edge-exchangeable graphs and sparsity	2016	Tamara Broderick Diana Cai
+	Priors on exchangeable directed graphs	2016	Diana Cai Nathanael Ackerman Cameron E. Freer
+	Completely random measures for modeling power laws in sparse graphs	2016	Diana Cai Tamara Broderick
+	Edge-exchangeable graphs and sparsity (NIPS 2016)	2016	Diana Cai Trevor Campbell Tamara Broderick
+	Edge-exchangeable graphs and sparsity	2016	Tamara Broderick Diana Cai
+	Exchangeable Trait Allocations	2016	Trevor Campbell Diana Cai Tamara Broderick
+	An iterative step-function estimator for graphons	2014	Diana Cai Nathanael Ackerman Cameron E. Freer

Common Coauthors

Coauthor	Papers Together
Tamara Broderick	10
Trevor Campbell	7
Ryan P. Adams	4
Lawrence K. Saul	3
Chirag Modi	3
Eric S. Toberer	2
Roman Garnett	2
Nathanael Ackerman	2
Cameron E. Freer	2
Charles C. Margossian	2
Barbara E. Engelhardt	2
David M. Blei	2
Andrew C. Novick	2
Quan Dong Nguyen	2
Aishwarya Mandyam	1
Andrew Jones	1
Gregory W. Gundersen	1
Loucas Pillaud-Vivien	1
Lester Mackey	1
Nicolò Fusi	1
Robert M. Gower	1
Didong Li	1
Rishit Sheth	1
R. Michael Gower	1
Chuteng Zhou	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures	2014	Peter Orbanz Daniel M. Roy	6
+	Representations for partially exchangeable arrays of random variables	1981	David Aldous	5
+ PDF Chat	Feature Allocations, Probability Functions, and Paintboxes	2013	Tamara Broderick Jim Pitman Michael I. Jordan	4
+	Exchangeability and related topics	1985	David Aldous	4
+	The Representation of Partition Structures	1978	J. F. C. Kingmán	4
+ PDF Chat	Sparse Graphs Using Exchangeable Random Measures	2017	François Caron Emily B. Fox	4
+ PDF Chat	Power laws, Pareto distributions and Zipf's law	2005	MEJ Newman	4
+	Edge exchangeable models for network data	2016	Harry Crane Walter Dempsey	3
+ PDF Chat	The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator	1997	Jim Pitman Marc Yor	3
+	Consistent nonparametric estimation for heavy-tailed sparse graphs	2015	Christian Borgs Jennifer Chayes Henry Cohn Shirshendu Ganguly	3
+	The Class of Random Graphs Arising from Exchangeable Random Measures	2015	Victor Veitch Daniel M. Roy	3
+ PDF Chat	Beta Processes, Stick-Breaking and Power Laws	2012	Tamara Broderick Michael I. Jordan Jim Pitman	3
+	An Infinite Latent Attribute Model for Network Data	2012	Konstantina Palla Zoubin Ghahramani David A. Knowles	2
+	Matrix estimation by Universal Singular Value Thresholding	2014	Sourav Chatterjee	2
+	Bayesian Model Selection in Finite Mixtures by Marginal Density Decompositions	2001	Hemant Ishwaran Lancelot F. James Jiayang Sun	2
+ PDF Chat	Posteriors, conjugacy, and exponential families for completely random measures	2018	Tamara Broderick Ashia C. Wilson Michael I. Jordan	2
+ PDF Chat	Posterior consistency of Dirichlet mixtures in density estimation	1999	Subhashis Ghosal Jayanta K. Ghosh Ravi Ramamoorthi	2
+	Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data.	2016	Sandhya Prabhakaran Elham Azizi Ambrose Carr Dana Pe’er	2
+	Reweighted Data for Robust Probabilistic Models	2016	Zhaoran Wang Alp Kucukelbir David M. Blei	2
+	A framework for statistical network modeling	2015	Harry Crane Walter Dempsey	2
+ PDF Chat	Symmetric measures on Cartesian products	1955	Edwin Hewitt Leonard J. Savage	2
+	Posteriors, conjugacy, and exponential families for completely random measures	2014	Tamara Broderick Ashia C. Wilson Michael I. Jordan	2
+	Sparse exchangeable graphs and their limits via graphon processes	2016	Christian Borgs Jennifer Chayes Henry Cohn Nina Holden	2
+ PDF Chat	Asymptotic Behaviour of the Posterior Distribution in Overfitted Mixture Models	2011	Judith Rousseau Kerrie Mengersen	2
+	Relatively exchangeable structures	2015	Harry Crane Henry Towsner	2
+ PDF Chat	Power-Law Distributions in Empirical Data	2009	Aaron Clauset Cosma Rohilla Shalizi M. E. J. Newman	2
+	Edge-exchangeable graphs and sparsity	2016	Tamara Broderick Diana Cai	2
+	Cluster and Feature Modeling from Combinatorial Stochastic Processes	2013	Tamara Broderick Michael I. Jordan Jim Pitman	2
+	Bayesian Density Estimation and Inference Using Mixtures	1995	Michael Escobar Mike West	2
+	Three Types of Gamma‐Ray Bursts	1998	Soma Mukherjee Eric D. Feigelson G. Jogesh Babu Fionn Murtagh Chris Fraley Adrian E. Raftery	2
+	None	2007	Béla Bollobás Svante Janson Oliver Riordan	2
+	Estimating Normal Means with a Dirichlet Process Prior	1994	Michael Escobar	2
+ PDF Chat	On Bayes procedures	1965	Lorraine Schwartz	2
+	Probabilistic Symmetries and Invariance Principles	2005	Olav Kallenberg	2
+ PDF Chat	Mixture Models With a Prior on the Number of Components	2016	Jeffrey W. Miller Matthew Tom Harrison	2
+ PDF Chat	A Survey of Statistical Network Models	2009	Anna Goldenberg	2
+	Gibbs Sampling Methods for Stick-Breaking Priors	2001	Hemant Ishwaran Lancelot F. James	2
+ PDF Chat	Statistical mixture modeling for cell subtype identification in flow cytometry	2008	Cliburn Chan Feng Feng Janet Ottinger David V. Foster Mike West Thomas B. Kepler	2
+ PDF Chat	Fundamentals of Stein’s method	2011	Nathan Ross	2
+ PDF Chat	Combinatorial Clustering and the Beta Negative Binomial Process	2014	Tamara Broderick Lester Mackey John Paisley Michael I. Jordan	2
+	Completely random measures for modeling power laws in sparse graphs	2016	Diana Cai Tamara Broderick	2
+ PDF Chat	Exchangeable and partially exchangeable random partitions	1995	Jim Pitman	2
+	The Gibbs and splitmerge sampler for population mixture analysis from genetic data with incomplete baselines	2006	Jerome J. Pella Michele Masuda	1
+ PDF Chat	Nonparametric Bayesian models through probit stick-breaking processes	2011	David B. Dunson Abel Rodrìguez	1
+	Poisson Latent Feature Calculus for Generalized Indian Buffet Processes	2014	Lancelot F. James	1
+	Bayesian asymptotics under misspecification	2004	B. J. K. Kleijn	1
+ PDF Chat	On the empirical estimation of integral probability metrics	2012	Bharath K. Sriperumbudur Kenji Fukumizu Arthur Gretton Bernhard Schölkopf Gert Lanckriet	1
+	Robust Estimation of Mixture Complexity	2006	Mi‐Ja Woo T.N. Sriram	1
+	Nonparametric graphon estimation	2013	Patrick J. Wolfe Sofia C. Olhede	1
+	Quasi‐random tournaments	1991	Fan Chung Ronald Graham	1