Yoni Halpern

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All published works

Action	Title	Year	Authors
+	Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders	2023	Yueqi Wang Yoni Halpern Shuo Chang Jingchen Feng Elaine Ya Le Longfei Li Xujian Liang Min-Cheng Huang Shane Li Alex Beutel
+	FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization	2023	Alexandru Țifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost
+	Causally-motivated Shortcut Removal Using Auxiliary Labels.	2021	Maggie Makar Ben Packer Dan Moldovan Davis Blalock Yoni Halpern Alexander D’Amour
+	Measuring Recommender System Effects with Simulated Users	2021	Sirui Yao Yoni Halpern Nithum Thain Xuezhi Wang Kang Lee Flavien Prost Ed H. Jilin Chen Alex Beutel
+	Causally motivated Shortcut Removal Using Auxiliary Labels	2021	Maggie Makar Ben Packer Dan Moldovan Davis Blalock Yoni Halpern Alexander D’Amour
+	Fair treatment allocations in social networks	2019	James Atwood Hansa Srinivasan Yoni Halpern D. Sculley
+	Benefits of Overparameterization in Single-Layer Latent Variable Generative Models.	2019	Rares-Darius Buhai Andrej Risteski Yoni Halpern David Sontag
+	Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models	2019	Rares-Darius Buhai Yoni Halpern Yoon Kim Andrej Risteski David Sontag
+	Fair treatment allocations in social networks	2019	James Atwood Hansa Srinivasan Yoni Halpern D Sculley
+	BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity	2018	Alexey A. Gritsenko Alexander D’Amour James Atwood Yoni Halpern D. Sculley
+	BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity	2018	Alexey A. Gritsenko Alex D’Amour James Atwood Yoni Halpern D. Sculley
+	No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World	2017	Shreya Shankar Yoni Halpern Eric Breck James Atwood Jimbo Wilson D. Sculley
+	Clinical Tagging with Joint Probabilistic Models	2016	Yoni Halpern Steven Horng David Sontag
+	Clinical Tagging with Joint Probabilistic Models	2016	Yoni Halpern Steven Horng David Sontag
+	Anchored Discrete Factor Analysis	2015	Yoni Halpern Steven Horng David Sontag
+	Unsupervised learning of noisy-or Bayesian networks	2013	Yoni Halpern David Sontag
+	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

Common Coauthors

Coauthor	Papers Together
David Sontag	7
Ben Packer	3
Steven Horng	3
James Atwood	3
Alexander D’Amour	3
D. Sculley	3
Alex Beutel	2
Alexey A. Gritsenko	2
Dan Moldovan	2
Maggie Makar	2
James Atwood	2
Andrej Risteski	2
Flavien Prost	2
Hansa Srinivasan	2
Rares-Darius Buhai	2
Davis Blalock	2
Nithum Thain	1
Jimbo Wilson	1
David Mimno	1
Eric Breck	1
Xujian Liang	1
Yaping Zhang	1
Yoon Kim	1
Yueqi Wang	1
Kang Lee	1
Jingchen Feng	1
Elaine Ya Le	1
Yichen Wu	1
Longfei Li	1
Shuo Chang	1
Min-Cheng Huang	1
Sanjeev Arora	1
Michael Zhu	1
Ahmad Beirami	1
Alexandru Țifrea	1
Preethi Lahoti	1
D. Sculley	1
Shreya Shankar	1
Xuezhi Wang	1
Ed H.	1
Shane Li	1
Jilin Chen	1
Rong Ge	1
Alex D’Amour	1
D Sculley	1
Ankur Moitra	1
Sirui Yao	1
Shuchao Bi	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Kruskal's polynomial for 2×2×2 arrays and a generalization to 2×n×n arrays	1991	Jos M. F. ten Berge	2
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	2
+	A Method of Moments for Mixture Models and Hidden Markov Models	2012	Animashree Anandkumar Daniel Hsu Sham M. Kakade	2
+	Learning Topic Models - Going beyond SVD	2012	Sanjeev Arora Rong Ge Ankur Moitra	2
+ PDF Chat	Top-K Off-Policy Correction for a REINFORCE Recommender System	2019	Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H.	2
+	Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests	2013	Yacine Jernite Yonatan Halpern David Sontag	2
+	Learning Adversarially Fair and Transferable Representations	2018	David Madras Elliot Creager Toniann Pitassi Richard S. Zemel	2
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	2
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	2
+	Unsupervised Learning of Noisy-Or Bayesian Networks	2013	Yonatan Halpern David Sontag	2
+ PDF Chat	Multiresolution community detection for megascale networks by information-based replica correlations	2009	Peter Ronhovde Zohar Nussinov	1
+	Discrete epidemic models	2010	Fred Brauer Zhilan Feng Carlos Castillo‐Chávez	1
+	Optimal but unequitable prophylactic distribution of vaccine	2012	Matt J. Keeling Andrew J. Shattock	1
+ PDF Chat	Dynamics and Control of Diseases in Networks with Community Structure	2010	Marcel Salathé James H. Jones	1
+	Some discrete-time SI, SIR, and SIS epidemic models	1994	Linda J. S. Allen	1
+	Community structure in social and biological networks	2002	Michelle Girvan M. E. J. Newman	1
+	Discrete epidemic models with arbitrarily distributed disease stages	2015	Nancy Hernández-Cerón	1
+ PDF Chat	Growing scale-free networks with tunable clustering	2002	Petter Holme Beom Jun Kim	1
+	Finding optimal vaccination strategies for pandemic influenza using genetic algorithms	2005	Rajan Patel Ira M. Longini M. Elizabeth Halloran	1
+	Fairness versus Efficiency of Vaccine Allocation Strategies	2015	Ming Yi Achla Marathe	1
+	Deep Reinforcement Learning for List-wise Recommendations	2018	Xiangyu Zhao Liang Zhang Zhuoye Ding Dawei Yin Yihong Zhao Jiliang Tang	1
+	Fairness of Exposure in Rankings	2018	Ashudeep Singh Thorsten Joachims	1
+	Tensor decompositions for learning latent variable models	2014	Animashree Anandkumar Rong Ge Daniel Hsu Sham M. Kakade Matus Telgarsky	1
+ PDF Chat	Recognition in Terra Incognita	2018	Sara Beery Grant Van Horn Pietro Perona	1
+	Identifiability and Unmixing of Latent Parse Trees	2012	Percy Liang Daniel Hsu Sham M. Kakade	1
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+	Learning Transferable Features with Deep Adaptation Networks	2015	Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan	1
+ PDF Chat	Uncovering the overlapping community structure of complex networks in nature and society	2005	Gergely Palla Imre Derényi Illés J. Farkas Tamás Vicsek	1
+	Marginal Inference in MRFs using Frank-Wolfe	2013	David Belanger Daniel Sheldon Andrew McCallum	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Learning nonsingular phylogenies and hidden Markov models	2005	Elchanan Mossel Sébastien Roch	1
+ PDF Chat	Identifiability of parameters in latent structure models with many observed variables	2009	Elizabeth S. Allman Catherine Matias John A. Rhodes	1
+ PDF Chat	Provable learning of noisy-OR networks	2017	Sanjeev Arora Rong Ge Tengyu Ma Andrej Risteski	1
+	Equality of Opportunity in Supervised Learning	2016	Moritz Hardt Eric Price Nathan Srebro	1
+	Learning latent variable models by improving spectral solutions with exterior point method	2015	Amirreza Shaban Mehrdad Farajtabar Bo Xie Le Song Byron Boots	1
+	Perturbation bounds in connection with singular value decomposition	1972	Per-Åke Wedin	1
+	Simple criteria for finding (nearly) optimal vaccination strategies	2007	Stephen Tennenbaum	1
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	1
+	Tackling Over-pruning in Variational Autoencoders	2017	Serena Yeung Anitha Kannan Yann Dauphin Li Fei-Fei	1
+	SmoothGrad: removing noise by adding noise	2017	Daniel Smilkov Nikhil Thorat Been Kim Fernanda Viégas Martin Wattenberg	1
+	Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations	2017	Alex Beutel Ed H. Jilin Chen Zhe Zhao	1
+	How algorithmic confounding in recommendation systems increases homogeneity and decreases utility	2018	Allison J. B. Chaney Brandon Stewart Barbara E. Engelhardt	1
+ PDF Chat	A Spectral Algorithm for Latent Dirichlet Allocation	2014	Anima Anandkumar Dean P. Foster Daniel Hsu Sham M. Kakade Yi-Kai Liu	1
+	Anchor regression: heterogeneous data meets causality	2018	Dominik Rothenhäusler Peter Bühlmann Nicolai Meinshausen Jonas Peters	1
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	1
+	Effect of discretization on dynamical behavior of SEIR and SIR models with nonlinear incidence	2014	Junli Liu Baoyang Peng Tailei Zhang	1
+	AutoAugment: Learning Augmentation Policies from Data	2018	Ekin D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le	1
+	Why do deep convolutional networks generalize so poorly to small image transformations	2018	Aharon Azulay Yair Weiss	1
+	Anchored Discrete Factor Analysis	2015	Yoni Halpern Steven Horng David Sontag	1
+ PDF Chat	Spread of epidemic disease on networks	2002	M. E. J. Newman	1