Michael Zhu

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All published works

Action	Title	Year	Authors
+	Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation	2023	Yulong Chen Huajian Zhang Yijie Zhou Xuefeng Bai Yueguan Wang Zhong Ming Jianhao Yan Yafu Li Judy Li Michael Zhu
+	2020 U.S. presidential election in swing states: Gender differences in Twitter conversations	2022	Amir Karami Spring B. Clark Mackenzie Anderson Dorathea Lee Michael Zhu Hannah R. Boyajieff Bailey Goldschmidt
+ PDF Chat	COVID-19 Vaccine and Social Media in the U.S.: Exploring Emotions and Discussions on Twitter	2021	Amir Karami Michael Zhu Bailey Goldschmidt Hannah R. Boyajieff Mahdi M. Najafabadi
+	2020 U.S. Presidential Election: Analysis of Female and Male Users on Twitter.	2021	Amir Karami Spring B. Clark Mackenzie Anderson Dorathea Lee Michael Zhu Hannah R. Boyajieff Bailey Goldschmidt
+ PDF Chat	Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing	2021	Zhaoxin Luo Michael Zhu
+	Recurrent Neural Networks with Mixed Hierarchical Structures for Natural Language Processing	2021	Zhaoxin Luo Michael Zhu
+	Variance Reduction and Quasi-Newton for Particle-Based Variational Inference	2020	Michael Zhu Chang Liu Jun Zhu
+	Towards Differentiable Resampling	2020	Michael Zhu Kevin D. Murphy Rico Jonschkowski
+	Multi-level Training and Bayesian Optimization for Economical Hyperparameter Optimization	2020	Yang Yang Ke Deng Michael Zhu
+	Sample Adaptive MCMC	2019	Michael Zhu
+	To prune, or not to prune: exploring the efficacy of pruning for model compression	2017	Michael Zhu Suyog Gupta
+	SPOT	2017	Qiming Huang Michael Zhu
+	Group Additive Structure Identification for Kernel Nonparametric Regression	2017	Chao Pan Michael Zhu
+	To prune, or not to prune: exploring the efficacy of pruning for model compression	2017	Michael Zhu Suyog Gupta
+	Optimal Kernel Group Transformation for Exploratory Regression Analysis and Graphics	2015	Chao Pan Qiming Huang Michael Zhu
+	A Practical Algorithm for Topic Modeling with Provable Guarantees	2012	Sanjeev Arora Rong Ge Yoni Halpern David Mimno Ankur Moitra David Sontag Yichen Wu Michael Zhu
+	A Practical Algorithm for Topic Modeling with Provable Guarantees	2012	Sanjeev Arora Rong Ge Yonatan Halpern David Mimno Ankur Moitra David Sontag Yichen Wu Michael Zhu

Common Coauthors

Coauthor	Papers Together
Bailey Goldschmidt	3
Amir Karami	3
Hannah R. Boyajieff	3
Sanjeev Arora	2
David Sontag	2
Rong Ge	2
Mackenzie Anderson	2
Suyog Gupta	2
Ankur Moitra	2
Zhaoxin Luo	2
Dorathea Lee	2
David Mimno	2
Spring B. Clark	2
Yichen Wu	2
Yijie Zhou	1
Jianhao Yan	1
Yoni Halpern	1
Rico Jonschkowski	1
Ke Deng	1
Yonatan Halpern	1
Chao Pan	1
Mahdi M. Najafabadi	1
Chao Pan	1
Qiming Huang	1
Qiming Huang	1
Yue Zhang	1
Chang Liu	1
Yang Yang	1
Kevin D. Murphy	1
Judy Li	1
Xuefeng Bai	1
Yueguan Wang	1
Huajian Zhang	1
Yafu Li	1
Jun Zhu	1
Zhong Ming	1
Yulong Chen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	3
+	Using Effect Size—or Why the <i>P</i> Value Is Not Enough	2012	Gail M. Sullivan Richard Feinn	3
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	2
+	Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization	2012	Abhishek Kumar Vikas Sindhwani Prabhanjan Kambadur	2
+	Sequential Monte Carlo Methods for Dynamic Systems	1998	Jun S. Liu Rong Chen	2
+ PDF Chat	A correlated topic model of Science	2007	David M. Blei John Lafferty	2
+	Estimating Optimal Transformations for Multiple Regression and Correlation	1985	Leo Breiman Jerome H. Friedman	2
+	Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation	2012	Animashree Anandkumar Dean P. Foster Daniel Hsu Sham M. Kakade Yi-Kai Liu	2
+	Novel approach to nonlinear/non-Gaussian Bayesian state estimation	1993	Neil Gordon David Salmond A. F. M. Smith	2
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	2
+	A Convolutional Neural Network for Modelling Sentences	2014	Nal Kalchbrenner Edward Grefenstette Phil Blunsom	2
+	Character-based Neural Machine Translation	2015	Ling Wang Isabel Trancoso Chris Dyer Alan W. Black	2
+	A Clockwork RNN	2014	Jan Koutník Klaus Greff Faustino Gomez Jürgen Schmidhuber	2
+	mosaic: Project MOSAIC Statistics and Mathematics Teaching Utilities	2011	Randall Pruim Daniel T. Kaplan Nicholas J. Horton	2
+	Factoring nonnegative matrices with linear programs	2012	Victor Bittorf Benjamin Recht Christopher Ré Joel A. Tropp	2
+	The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo	2014	Matthew D. Homan Andrew Gelman	2
+ PDF Chat	Robustness Analysis of Hottopixx, a Linear Programming Model for Factoring Nonnegative Matrices	2013	Nicolas Gillis	2
+ PDF Chat	Handbook of Markov Chain Monte Carlo	2011	Steve Brooks Andrew Gelman Galin L. Jones Xiao‐Li Meng	2
+	A computational fluid mechanics solution to the Monge-Kantorovich mass transfer problem	2000	Jean‐David Benamou Yann Brenier	1
+	Population Monte Carlo	2004	Olivier Cappé A Guillin Jean‐Michel Marin Christian P. Robert	1
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	1
+ PDF Chat	Rates of convergence of the Hastings and Metropolis algorithms	1996	Kerrie Mengersen Richard L. Tweedie	1
+	Metropolis–Hastings algorithms with adaptive proposals	2008	Bo Cai Renate Meyer François Perron	1
+ PDF Chat	Weak convergence and optimal scaling of random walk Metropolis algorithms	1997	Susan A. Gelman Walter R. Gilks Gareth O. Roberts	1
+	Perturbation bounds in connection with singular value decomposition	1972	Per-Åke Wedin	1
+ PDF Chat	Updating quasi-Newton matrices with limited storage	1980	Jorge Nocedal	1
+	THE GEOMETRY OF DISSIPATIVE EVOLUTION EQUATIONS: THE POROUS MEDIUM EQUATION	2001	Félix Otto	1
+ PDF Chat	A general construction for parallelizing Metropolis−Hastings algorithms	2014	Ben Calderhead	1
+	Two-Stage Importance Sampling With Mixture Proposals	2013	Wentao Li Zhiqiang Tan Rong Chen	1
+ PDF Chat	Estimation of a semiparametric transformation model	2008	Oliver B. Linton Stefan Sperlich Ingrid Van Keilegom	1
+	Markov Chain Monte Carlo Maximum Likelihood	1991	Charles J. Geyer	1
+ PDF Chat	Particle Markov Chain Monte Carlo Methods	2010	Christophe Andrieu Arnaud Doucet Roman Holenstein	1
+ PDF Chat	Nonparametric estimation of an additive model with a link function	2004	Joël L. Horowitz Enno Mammen	1
+ PDF Chat	Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control	2011	Marcel Salathé Shashank Khandelwal	1
+	Functional additive regression	2015	Yingying Fan Gareth James Peter Radchenko	1
+ PDF Chat	Joint measures and cross-covariance operators	1973	C. Richard Baker	1
+	A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets	2012	Nicolas Le Roux Mark Schmidt Francis Bach	1
+ PDF Chat	Variable selection in nonparametric additive models	2010	Jian Huang Joël L. Horowitz Fengrong Wei	1
+	The Predictive Power of Social Media: On the Predictability of U.S. Presidential Elections using Twitter	2014	Kazem Jahanbakhsh Yumi Moon	1
+ PDF Chat	Generalized Additive Models	2012	Michael J. Crawley	1
+ PDF Chat	High-dimensional additive modeling	2009	Lukas Meier Sara van de Geer Peter Bühlmann	1
+ PDF Chat	On the convergence of the Markov chain simulation method	1996	Krishna B. Athreya Hani Doss Jayaram Sethuraman	1
+ PDF Chat	Computing a nonnegative matrix factorization -- provably	2012	Sanjeev Arora Rong Ge Ravindran Kannan Ankur Moitra	1
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	1
+	Safe and Effective Importance Sampling	2000	Art B. Owen Yi Zhou	1
+	Geometric convergence and central limit theorems for multidimensional Hastings and Metropolis algorithms	1996	Gareth O. Roberts	1
+ PDF Chat	Fast and Robust Recursive Algorithmsfor Separable Nonnegative Matrix Factorization	2013	Nicolas Gillis Stephen A. Vavasis	1
+ PDF Chat	Learning Topic Models -- Going beyond SVD	2012	Sanjeev Arora Rong Ge Ankur Moitra	1
+	Practical Bayesian Optimization of Machine Learning Algorithms	2012	Jasper Snoek Hugo Larochelle Ryan P. Adams	1
+ PDF Chat	Component selection and smoothing in multivariate nonparametric regression	2006	Yi Lin Hao Helen Zhang	1