Matthew Eichhorn

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All published works

Action	Title	Year	Authors
+ PDF Chat	Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference	2024	Matthew Eichhorn Samir Khan Johan Ugander Christina Lee Yu
+ PDF Chat	Combining Rollout Designs and Clustering for Causal Inference under Low-order Interference	2024	Mayleen Cortez-Rodriguez Matthew Eichhorn Christina Lee Yu
+	Allocating with Priorities and Quotas: Algorithms, Complexity, and Dynamics	2023	Siddhartha Banerjee Matthew Eichhorn David Kempe
+ PDF Chat	Exploiting neighborhood interference with low-order interactions under unit randomized design	2023	Mayleen Cortez-Rodriguez Matthew Eichhorn Christina Lee Yu
+	Allocating with Priorities and Quotas: Algorithms, Complexity, and Dynamics	2022	Siddhartha Banerjee Matthew Eichhorn David Kempe
+	Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge	2022	Mayleen Cortez Matthew Eichhorn Christina Lee Yu
+	Exploiting Neighborhood Interference with Low Order Interactions under Unit Randomized Design	2022	Mayleen Cortez-Rodriguez Matthew Eichhorn Christina Lee Yu
+	Online Team Formation under Different Synergies	2022	Matthew Eichhorn Siddhartha Banerjee David Kempe
+ PDF Chat	Online Team Formation Under Different Synergies	2022	Matthew Eichhorn Siddhartha Banerjee David Kempe
+	Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps	2020	Tri Dao Nimit S. Sohoni Albert Gu Matthew Eichhorn Amit Blonder Megan Leszczynski Atri Rudra Christopher Ré
+	Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations.	2019	Tri Dao Albert Gu Matthew Eichhorn Atri Rudra Christopher Ré
+	Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations	2019	Tri Dao Albert Gu Matthew Eichhorn Atri Rudra Christopher Ré
+	Fast Counting in Machine Learning Applications	2018	Subhadeep Karan Matthew Eichhorn Blake Hurlburt Grant Iraci Jarosław Żola
+	Fast Counting in Machine Learning Applications	2018	Subhadeep Karan Matthew Eichhorn Blake Hurlburt Grant Iraci Jarosław Żola

Common Coauthors

Coauthor	Papers Together
Christina Lee Yu	5
David Kempe	4
Siddhartha Banerjee	4
Atri Rudra	3
Albert Gu	3
Mayleen Cortez-Rodriguez	3
Tri Dao	3
Subhadeep Karan	2
Grant Iraci	2
Blake Hurlburt	2
Christopher Ré	2
Jarosław Żola	2
Johan Ugander	1
Mayleen Cortez	1
Samir Khan	1
Megan Leszczynski	1
Christopher Ré	1
Amit Blonder	1
Nimit S. Sohoni	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Displacement ranks of matrices and linear equations	1979	T. Kailath Sun‐Yuan Kung M. Morf	2
+	Learning Latent Permutations with Gumbel-Sinkhorn Networks	2018	Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek	2
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	2
+	Matrix-vector product for confluent Cauchy-like matrices with application to confluent rational interpolation	2000	Vadim Olshevsky Amin Shokrollahi	2
+ PDF Chat	Sorting improves word-aligned bitmap indexes	2009	Daniel Lemire Owen Kaser Kamel Aouiche	2
+ PDF Chat	Roaring bitmaps: Implementation of an optimized software library	2018	Daniel Lemire Owen Kaser Nathan Kurz Luca Deri C. O'Hara François Saint-Jacques Gregory Ssi-Yan-Kai	2
+	Nearly-tight VC-dimension bounds for piecewise linear neural networks	2017	Nick Harvey Chris Liaw Abbas Mehrabian	2
+	Compact Nonlinear Maps and Circulant Extensions	2015	Felix X. Yu Sanjiv Kumar Henry A. Rowley Shih‐Fu Chang	2
+	Structured Matrices and Polynomials: Unified Superfast Algorithms	2001	Victor Y. Pan	2
+	A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests	2006	Luis M. de Campos	2
+	Fast Discrete Polynomial Transforms with Applications to Data Analysis for Distance Transitive Graphs	1997	James R. Driscoll D.M. Healy Daniel N. Rockmore	2
+ PDF Chat	Compressed bitmap indexes: beyond unions and intersections	2014	Owen Kaser Daniel Lemire	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs	2016	Jing Li Yichen Shen Tena Dubček John Peurifoy Scott A. Skirlo Yann LeCun Max Tegmark Marin Soljačić	2
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	1
+	Recurrence relations and fast algorithms	2009	Mark Tygert	1
+	Algebraic Signal Processing Theory	2006	Markus Püschel José M. F. Moura	1
+ PDF Chat	Convergence of Estimates Under Dimensionality Restrictions	1973	Lucien LeCam	1
+ PDF Chat	On causal inference in the presence of interference	2010	Eric J. Tchetgen Tchetgen Tyler J. VanderWeele	1
+ PDF Chat	Exact<i>p</i>-Values for Network Interference	2016	Susan Athey Dean Eckles Guido W. Imbens	1
+	Sparse Matrix Factorization	2013	Behnam Neyshabur Rina Panigrahy‎	1
+ PDF Chat	Team Performance with Test Scores	2015	Jon Kleinberg Maithra Raghu	1
+	Pitfalls of and Controversies in Cluster Randomization Trials	2004	Allan Donner Neil Klar	1
+ PDF Chat	Every Matrix is a Product of Toeplitz Matrices	2015	Ke Ye Lek‐Heng Lim	1
+	Supervised Dictionary Learning	2008	Julien Mairal Jean Ponce Guillermo Sapiro Andrew Zisserman Francis R. Bach	1
+	Toeplitz and circulant matrices	1977	Robert M. Gray	1
+	Interference Between Units in Randomized Experiments	2007	Paul R. Rosenbaum	1
+ PDF Chat	An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections	2015	Yu Cheng Felix X. Yu Rogério Feris Sanjiv Kumar Alok Choudhary Shi-Fu Chang	1
+ PDF Chat	Ethical issues in the design and conduct of cluster randomised controlled trials	1999	SE Edwards D. A Braunholtz R. J Lilford Andrew Stevens	1
+ PDF Chat	Large Sample Randomization Inference of Causal Effects in the Presence of Interference	2013	Lan Liu Michael G. Hudgens	1
+	On the difficulty of training Recurrent Neural Networks	2012	Razvan Pascanu Tomáš Mikolov Yoshua Bengio	1
+	Parent Assignment Is Hard for the MDL, AIC, and NML Costs	2006	Mikko Koivisto	1
+	Symmetry-based matrix factorization	2003	Sebastian Egner Markus Püschel	1
+	Compressing Neural Networks with the Hashing Trick	2015	Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen	1
+ PDF Chat	Identification of treatment response with social interactions	2013	Charles F. Manski	1
+ PDF Chat	Fundamentals of Stein’s method	2011	Nathan Ross	1
+ PDF Chat	Optimal Design of Experiments on Connected Units with Application to Social Networks	2016	Ben M. Parker Steven G. Gilmour John Schormans	1
+ PDF Chat	Multidimensional butterfly factorization	2017	Yingzhou Li Haizhao Yang Lexing Ying	1
+ PDF Chat	Flexible Multilayer Sparse Approximations of Matrices and Applications	2016	Luc Le Magoarou Rémi Gribonval	1
+	Fast Approximation of Rotations and Hessians matrices	2014	Michaël Mathieu Yann LeCun	1
+	Wav2Letter: an End-to-End ConvNet-based Speech Recognition System	2016	Ronan Collobert Christian Puhrsch Gabriel Synnaeve	1
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	1
+ PDF Chat	On inverse probability-weighted estimators in the presence of interference	2016	Lei Liu Michael G. Hudgens Sylvia Becker‐Dreps	1
+ PDF Chat	Fast Algorithms for Spherical Harmonic Expansions	2006	Vladimir Rokhlin Mark Tygert	1
+ PDF Chat	Causal Inference Under Interference in Spatial Settings: A Case Study Evaluating Community Policing Program in Chicago	2012	Natalya Verbitsky‐Savitz Stephen W. Raudenbush	1
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	1
+	Causal Inference for Social Network Data	2022	Elizabeth L. Ogburn Oleg Sofrygin Iván Díaz Mark J. van der Laan	1
+	To prune, or not to prune: exploring the efficacy of pruning for model compression	2017	Michael Zhu Suyog Gupta	1
+ PDF Chat	Identification and estimation of spillover effects in randomized experiments	2022	Gonzalo Vázquez-Baré	1
+	Graph cluster randomization	2013	Johan Ugander Brian Karrer Lars Bäckström Jon Kleinberg	1