Dean P. Foster

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All published works

Action	Title	Year	Authors
+ PDF Chat	Large Deviations Inequalities for Unequal Probability Sampling Without Replacement	2024	Dean P. Foster Sergiu Hart
+ PDF Chat	How Does Critical Batch Size Scale in Pre-training?	2024	Hanlin Zhang Depen Morwani Nikhil Vyas J. Wu Difan Zou Udaya Ghai Dean P. Foster Sham M. Kakade
+ PDF Chat	Neural Coordination and Capacity Control for Inventory Management	2024	Carson Eisenach Udaya Ghai Dhruv Madeka Kari Torkkola Dean P. Foster Sham M. Kakade
+ PDF Chat	A Study on the Calibration of In-context Learning	2024	Hanlin Zhang Yifan Zhang Yaodong Yu Dhruv Madeka Dean P. Foster Eric P. Xing Himabindu Lakkaraju Sham M. Kakade
+	On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring	2023	Dylan J. Foster Dean P. Foster Noah Golowich Alexander Rakhlin
+	Scaling Laws for Imitation Learning in NetHack	2023	Jens Tuyls Dhruv Madeka Kari Torkkola Dean P. Foster Karthik Narasimhan Sham M. Kakade
+	Contextual Bandits for Evaluating and Improving Inventory Control Policies	2023	Dean P. Foster Randy Jia Dhruv Madeka
+	Learning an Inventory Control Policy with General Inventory Arrival Dynamics	2023	Sohrab Andaz Carson Eisenach Dhruv Madeka Kari Torkkola Randy Jia Dean P. Foster Sham M. Kakade
+	“Calibeating”: Beating forecasters at their own game	2023	Dean P. Foster Sergiu Hart
+	A Study on the Calibration of In-context Learning	2023	Hanlin Zhang Yifan Zhang Yaodong Yu Dhruv Madeka Dean P. Foster Eric P. Xing Hima Lakkaraju Sham M. Kakade
+	AI safety by debate via regret minimization	2023	Xinyi Chen Angelica Chen Dean P. Foster Elad Hazan
+ PDF Chat	Impartial Predictive Modeling and the Use of Proxy Variables	2022	Kory D. Johnson Dean P. Foster Robert A. Stine
+	A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation	2022	Philip Amortila Nan Jiang Dhruv Madeka Dean P. Foster
+	"Calibeating": Beating Forecasters at Their Own Game	2022	Dean P. Foster Sergiu Hart
+	Linear Reinforcement Learning with Ball Structure Action Space	2022	Zeyu Jia Randy Jia Dhruv Madeka Dean P. Foster
+	Deep Inventory Management	2022	Dhruv Madeka Kari Torkkola Carson Eisenach Anna Luo Dean P. Foster Sham M. Kakade
+ PDF Chat	Assessment of Treatment Effect Estimators for Heavy-Tailed Data	2021	Nilesh Tripuraneni Dhruv Madeka Dean P. Foster Dominique Perrault-Joncas Michael I. Jordan
+	The Benefits of Implicit Regularization from SGD in Least Squares Problems	2021	Difan Zou Jingfeng Wu Vladimir Braverman Quanquan Gu Dean P. Foster Sham M. Kakade
+ PDF Chat	On Submodular Contextual Bandits	2021	Dean P. Foster Alexander Rakhlin
+ PDF Chat	Forecast Hedging and Calibration	2021	Dean P. Foster Sergiu Hart
+	Single-Index Models in the High Signal Regime	2021	Ashwin Pananjady Dean P. Foster
+	Variance Reduction in Training Forecasting Models with Subgroup Sampling.	2021	Yucheng Lu Youngsuk Park Lifan Chen Yuyang Wang Christopher De Dean P. Foster
+ PDF Chat	Variance Reduced Training with Stratified Sampling for Forecasting Models	2021	Yucheng Lu Youngsuk Park Lifan Chen Yuyang Wang Christopher De Dean P. Foster
+	Threshold Martingales and the Evolution of Forecasts	2021	Dean P. Foster Robert A. Stine
+	Top-$k$ eXtreme Contextual Bandits with Arm Hierarchy	2021	Rajat Sen Alexander Rakhlin Lexing Ying Rahul Kidambi Dean P. Foster Daniel Hill Inderjit S. Dhillon
+	Variance Reduced Training with Stratified Sampling for Forecasting Models	2021	Yucheng Lu Youngsuk Park Lifan Chen Yuyang Wang Christopher De Dean P. Foster
+	The Benefits of Implicit Regularization from SGD in Least Squares Problems	2021	Difan Zou Jingfeng Wu Vladimir Braverman Quanquan Gu Dean P. Foster Sham M. Kakade
+	Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data	2021	Nilesh Tripuraneni Dhruv Madeka Dean P. Foster Dominique Perrault-Joncas Michael I. Jordan
+	On Submodular Contextual Bandits	2021	Dean P. Foster Alexander Rakhlin
+	PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing	2020	Justin Chan Dean P. Foster Shyam Gollakota Eric Horvitz Joseph Jaeger Sham Kakade Tadayoshi Kohno John Langford Jonathan Larson Puneet Sharma
+	What are the Statistical Limits of Offline RL with Linear Function Approximation?	2020	Ruosong Wang Dean P. Foster Sham M. Kakade
+	Deep Factors for Forecasting	2019	Yuyang Wang Alex Smola Danielle C. Maddix Jan Gasthaus Dean P. Foster Tim Januschowski
+	Dynamic Local Regret for Non-convex Online Forecasting	2019	Sergül Aydöre Tianhao Zhu Dean P. Foster
+ PDF Chat	Invariances and Data Augmentation for Supervised Music Transcription	2018	John Thickstun Zaïd Harchaoui Dean P. Foster Sham M. Kakade
+ PDF Chat	Smooth calibration, leaky forecasts, finite recall, and Nash dynamics	2018	Dean P. Foster Sergiu Hart
+	Coupled Recurrent Models for Polyphonic Music Composition	2018	John Thickstun Zaïd Harchaoui Dean P. Foster Sham M. Kakade
+	A Local Regret in Nonconvex Online Learning	2018	Sergül Aydöre Lee H. Dicker Dean P. Foster
+	Invariances and Data Augmentation for Supervised Music Transcription	2017	John Thickstun Zaïd Harchaoui Dean P. Foster Sham M. Kakade
+	Kernel ridge vs. principal component regression: Minimax bounds and the qualification of regularization operators	2017	Lee H. Dicker Dean P. Foster Daniel Hsu
+	Invariances and Data Augmentation for Supervised Music Transcription	2017	John Thickstun Zaïd Harchaoui Dean P. Foster Sham M. Kakade
+	Impartial Predictive Modeling: Ensuring Group Fairness in Arbitrary Models	2016	Kory D. Johnson Dean P. Foster Robert A. Stine
+	Online Sparse Linear Regression	2016	Dean P. Foster Satyen Kale Howard Karloff
+	On Optimal Retirement (How to Retire Early)	2016	Philip Ernst Dean P. Foster L. A. Shepp
+	Online Sparse Linear Regression	2016	Dean P. Foster Satyen Kale Howard Karloff
+ PDF Chat	Orbiting radiation stars	2016	Dean P. Foster John Langford Gabe Perez-Giz
+	Semantic Word Clusters Using Signed Normalized Graph Cuts	2016	João Sedoc Jean Gallier Lyle Ungar Dean P. Foster
+	Kernel ridge vs. principal component regression: minimax bounds and adaptability of regularization operators	2016	Lee H. Dicker Dean P. Foster Daniel Hsu
+	Online Sparse Linear Regression	2016	Dean P. Foster Satyen Kale Howard Karloff
+	Semantic Word Clusters Using Signed Normalized Graph Cuts	2016	João Sedoc Jean Gallier Lyle Ungar Dean P. Foster
+	On Optimal Retirement (How to Retire Early)	2016	Philip Ernst Dean P. Foster L. A. Shepp
+	Impartial Predictive Modeling and the Use of Proxy Variables	2016	Kory D. Johnson Dean P. Foster Robert A. Stine
+	Submodularity in Statistics: Comparing the Success of Model Selection Methods	2015	Kory D. Johnson Robert A. Stine Dean P. Foster
+	Revisiting Alpha-Investing: Conditionally Valid Stepwise Regression	2015	Kory D. Johnson Robert A. Stine Dean P. Foster
+	Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis	2015	Zhuang Ma Yichao Lu Dean P. Foster
+	Adaptive Monotone Shrinkage for Regression	2015	Zhuang Ma Dean P. Foster Robert A. Stine
+	Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis	2015	Zhuang Ma Yichao Lu Dean P. Foster
+	A Risk Ratio Comparison of $l_0$ and $l_1$ Penalized Regression	2015	Kory D. Johnson Dongyu Lin Lyle Ungar Dean P. Foster Robert A. Stine
+	Fitting High-Dimensional Interaction Models with Error Control	2015	Kory D. Johnson Robert A. Stine Dean P. Foster
+	Adaptive Monotone Shrinkage for Regression	2015	Zhuang Ma Dean P. Foster Robert A. Stine
+	Submodularity in Statistics: Comparing the Success of Model Selection Methods	2015	Kory D. Johnson Robert A. Stine Dean P. Foster
+	Large scale canonical correlation analysis with iterative least squares	2014	Yichao Lu Dean P. Foster
+ PDF Chat	A Spectral Algorithm for Latent Dirichlet Allocation	2014	Anima Anandkumar Dean P. Foster Daniel Hsu Sham M. Kakade Yi-Kai Liu
+	Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent	2014	Yichao Lu Dean P. Foster
+	{A Level-set Hit-and-run Sampler for Quasi-Concave Distributions}	2014	Shane T. Jensen Dean P. Foster
+	Variable Selection is Hard	2014	Dean P. Foster Howard Karloff Justin Thaler
+	Large scale canonical correlation analysis with iterative least squares	2014	Yichao Lu Dean P. Foster
+	Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent	2014	Yichao Lu Dean P. Foster
+	One-shot learning and big data with n=2	2013	Lee H. Dicker Dean P. Foster
+ PDF Chat	Negative baryon density and the folding structure of the<i>B</i>= 3 skyrmion	2013	Dean P. Foster Steffen Krusch
+	A risk comparison of ordinary least squares vs ridge regression	2013	Paramveer S. Dhillon Dean P. Foster Sham M. Kakade Lyle Ungar
+ PDF Chat	Stochastic Convex Optimization with Bandit Feedback	2013	Alekh Agarwal Dean P. Foster Daniel Hsu Sham M. Kakade Alexander Rakhlin
+	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
+	Spectral dimensionality reduction for HMMs	2012	Dean P. Foster Jordan Rodu Lyle Ungar
+	Optimal Weighting of Multi-View Data with Low Dimensional Hidden States	2012	Yichao Lu Dean P. Foster
+	Two Step CCA: A new spectral method for estimating vector models of words	2012	Paramveer S. Dhillon Jordan Rodu Dean P. Foster Lyle Ungar
+	A Level-Set Hit-and-Run Sampler for Quasi-Concave Distributions	2012	Dean P. Foster Shane T. Jensen
+	A Spectral Algorithm for Latent Dirichlet Allocation	2012	Animashree Anandkumar Dean P. Foster Daniel Hsu Sham M. Kakade Yi-Kai Liu
+	Spectral dimensionality reduction for HMMs	2012	Dean P. Foster Jordan Rodu Lyle Ungar
+	Complexity-Based Approach to Calibration With Checking Rules	2011	Dean P. Foster Alexander Rakhlin Karthik Sridharan Ambuj Tewari
+	Stochastic convex optimization with bandit feedback	2011	Alekh Agarwal Dean P. Foster Daniel Hsu Sham M. Kakade Alexander Rakhlin
+	The effect of winning an Oscar Award on survival: Correcting for healthy performer survivor bias with a rank preserving structural accelerated failure time model	2011	Xu Han Dylan S. Small Dean P. Foster Vishal Patel
+ PDF Chat	VIF Regression: A Fast Regression Algorithm for Large Data	2011	Dongyu Lin Dean P. Foster Lyle Ungar
+	Domain Adaptation: Overfitting and Small Sample Statistics	2011	Dean P. Foster Sham M. Kakade Ruslan Salakhutdinov
+	No Internal Regret via Neighborhood Watch	2011	Dean P. Foster Alexander Rakhlin
+	A Risk Comparison of Ordinary Least Squares vs Ridge Regression	2011	Paramveer S. Dhillon Dean P. Foster Sham M. Kakade Lyle Ungar
+	Stochastic convex optimization with bandit feedback	2011	Alekh Agarwal Dean P. Foster Daniel Hsu Sham M. Kakade Alexander Rakhlin
+	Statistics for Business: Decision Making and Analysis	2010	Robert A. Stine Dean P. Foster
+ PDF Chat	VIF Regression: A Fast Regression Algorithm for Large Data	2009	Dongyu Lin Dean P. Foster
+ PDF Chat	Information Consistency of Nonparametric Gaussian Process Methods	2008	Matthias Seeger Sham M. Kakade Dean P. Foster
+ PDF Chat	<i>α</i>-Investing: a Procedure for Sequential Control of Expected False Discoveries	2008	Dean P. Foster Robert A. Stine
+	Multi-View Dimensionality Reduction via Canonical Correlation Analysis	2008	Dean P. Foster Sham M. Kakade Tong Zhang
+	Multi-view Regression Via Canonical Correlation Analysis	2007	Sham M. Kakade Dean P. Foster
+ PDF Chat	Honest confidence intervals for the error variance in stepwise regression	2006	Dean P. Foster Robert A. Stine
+	Polyshrink: An Adaptive Variable Selection Procedure That Is Competitive with Bayes Experts	2005	Dean P. Foster Robert A. Stine
+ PDF Chat	Discussion of Hugh Chipman, Edward I. George and Robert E. McCulloch, "The Practical Implementation of Bayesian Model Selection"	2001	Dean P. Foster Robert A. Stine
+ PDF Chat	Calibration and empirical Bayes variable selection	2000	Edward I. George Dean P. Foster
+	Confounding Effects in Tests: A Case Study	1998	Dean P. Foster Robert A. Stine Richard P. Waterman
+	Prediction and confidence intervals in regression	1998	Dean P. Foster Robert A. Stine Richard P. Waterman
+	Collinearity	1998	Dean P. Foster Robert A. Stine Richard P. Waterman
+	Multiple regression	1998	Dean P. Foster Robert A. Stine Richard P. Waterman
+	Fitting Equations to Data	1998	Dean P. Foster Robert A. Stine Richard P. Waterman
+	Confounding Effects in Tests: A Case Study	1997	Dean P. Foster Robert A. Stine Richard P. Waterman
+	Confidence Intervals	1997	Dean P. Foster Robert A. Stine Richard P. Waterman
+ PDF Chat	Continuous Record Asymptotics for Rolling Sample Variance Estimators*	1996	Dean P. Foster Daniel B. Nelson
+	Asymptotic Filtering Theory for Univariate Arch Models*	1996	Daniel B. Nelson Dean P. Foster
+ PDF Chat	The Risk Inflation Criterion for Multiple Regression	1994	Dean P. Foster Edward I. George
+	Asypmtotic Filtering Theory for Univariate Arch Models	1994	Daniel B. Nelson Dean P. Foster
+	Asypmtotic Filtering Theory for Univariate Arch Models	1994	Daniel B. Nelson Dean P. Foster
+	Asypmtotic Filtering Theory for Univariate Arch Models	1994	Daniel B. Nelson Dean P. Foster
+ PDF Chat	Estimation up to a Change-Point	1993	Dean P. Foster Edward I. George

Common Coauthors

Coauthor	Papers Together
Sham M. Kakade	26
Robert A. Stine	23
Dhruv Madeka	11
Alexander Rakhlin	9
Lyle Ungar	9
Kory D. Johnson	8
Daniel Hsu	8
Yichao Lu	7
Richard P. Waterman	7
Daniel B. Nelson	5
Sergiu Hart	5
Kari Torkkola	4
Lee H. Dicker	4
Howard Karloff	4
John Thickstun	4
Zaïd Harchaoui	4
Alekh Agarwal	3
Yi-Kai Liu	3
Youngsuk Park	3
Edward I. George	3
Dongyu Lin	3
Randy Jia	3
Jordan Rodu	3
Zhuang Ma	3
Carson Eisenach	3
Christopher De	3
Satyen Kale	3
Paramveer S. Dhillon	3
Difan Zou	3
Yucheng Lu	3
Eric P. Xing	2
Hanlin Zhang	2
Jean Gallier	2
L. A. Shepp	2
Nilesh Tripuraneni	2
John Langford	2
Yaodong Yu	2
Yuyang Wang	2
Yuyang Wang	2
Jingfeng Wu	2
Lifan Chen	2
Quanquan Gu	2
Michael I. Jordan	2
Animashree Anandkumar	2
João Sedoc	2
Sergül Aydöre	2
Shane T. Jensen	2
Udaya Ghai	2
Philip Ernst	2
Dominique Perrault-Joncas	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Sparse Approximate Solutions to Linear Systems	1995	B. K. Natarajan	9
+ PDF Chat	The Risk Inflation Criterion for Multiple Regression	1994	Dean P. Foster Edward I. George	8
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	8
+ PDF Chat	Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions	2011	Nathan Halko Per‐Gunnar Martinsson Joel A. Tropp	7
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	6
+	More Comments on<i>C<sub>p</sub></i>	1995	Cohn L. Mallows	6
+ PDF Chat	The Dantzig selector: Statistical estimation when p is much larger than n	2007	Emmanuel J. Candès Terence Tao	6
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	6
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	6
+	Multi-view Regression Via Canonical Correlation Analysis	2007	Sham M. Kakade Dean P. Foster	6
+ PDF Chat	Calibration and empirical Bayes variable selection	2000	Edward I. George Dean P. Foster	5
+	A risk comparison of ordinary least squares vs ridge regression	2013	Paramveer S. Dhillon Dean P. Foster Sham M. Kakade Lyle Ungar	4
+	Ideal spatial adaptation by wavelet shrinkage	1994	David L. Donoho Iain M. Johnstone	4
+	DeepAR: Probabilistic forecasting with autoregressive recurrent networks	2019	David Salinas Valentín Flunkert Jan Gasthaus Tim Januschowski	4
+ PDF Chat	Sure Independence Screening for Ultrahigh Dimensional Feature Space	2008	Jianqing Fan Jinchi Lv	4
+	Multi-View Dimensionality Reduction via Canonical Correlation Analysis	2008	Dean P. Foster Sham M. Kakade Tong Zhang	4
+	The Canonical Correlations of Matrix Pairs and their Numerical Computation	1995	Gene H. Golub Hongyuan Zha	4
+ PDF Chat	Variance Function Estimation	1987	Marie Davidian Raymond J. Carroll	3
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	3
+	A spectral algorithm for learning Hidden Markov Models	2012	Daniel Hsu Sham M. Kakade Tong Zhang	3
+	Information Theory and an Extension of the Maximum Likelihood Principle	1998	H. Akaike	3
+	A Method of Moments for Mixture Models and Hidden Markov Models	2012	Animashree Anandkumar Daniel Hsu Sham M. Kakade	3
+ PDF Chat	An End-to-End Neural Network for Polyphonic Piano Music Transcription	2016	Siddharth Sigtia Emmanouil Benetos Simon Dixon	3
+	Two Step CCA: A new spectral method for estimating vector models of words	2012	Paramveer S. Dhillon Jordan Rodu Dean P. Foster Lyle Ungar	3
+	Restricted Eigenvalue Properties for Correlated Gaussian Designs	2010	Garvesh Raskutti Martin J. Wainwright Bin Yu	3
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	3
+ PDF Chat	None	2001	Katy S. Azoury Manfred K. Warmuth	3
+	APPROACHES FOR BAYESIAN VARIABLE SELECTION	1997	Edward I. George Robert E. McCulloch	3
+	Valid post-selection inference	2013	Richard A. Berk Lawrence Brown Andreas Buja Kai Zhang Linda Zhao	3
+	A Probabilistic Interpretation of Canonical Correlation Analysis	2005	Francis Bach Michael I. Jordan	3
+	The distribution of certain regression statistics	1971	Norman R. Draper Irwin Guttman Hiromitsu Kanemasu	3
+ PDF Chat	A Direct Approach to False Discovery Rates	2002	John D. Storey	3
+	Solution of incorrectly formulated problems and the regularization method	1963	А. Н. Тихонов	3
+ PDF Chat	<i>α</i>-Investing: a Procedure for Sequential Control of Expected False Discoveries	2008	Dean P. Foster Robert A. Stine	3
+ PDF Chat	Analytical approach to parallel repetition	2014	Irit Dinur David Steurer	3
+ PDF Chat	Adapting to unknown sparsity by controlling the false discovery rate	2006	Felix Abramovich Yoav Benjamini David L. Donoho Iain M. Johnstone	3
+	Adapting to Unknown Smoothness via Wavelet Shrinkage	1995	David L. Donoho Iain M. Johnstone	2
+	More Comments on C P	1995	Colin L. Mallows	2
+	An approximation to the distribution of the sample correlation coefficient	1978	Sadanori Konishi	2
+ PDF Chat	Numerical methods for computing angles between linear subspaces	1973	Åke Björck Gene H. Golub	2
+	Hit-and-run mixes fast	1999	László Lovász	2
+	On Spectral Learning of Mixtures of Distributions	2005	Dimitris Achlioptas Frank McSherry	2
+	Persistence in high-dimensional linear predictor selection and the virtue of overparametrization	2004	Eitan Greenshtein Ya’acov Ritov	2
+ PDF Chat	A tail inequality for quadratic forms of subgaussian random vectors	2012	Daniel Hsu Sham M. Kakade Tong Zhang	2
+	CROSS-VALIDATION BASED ADAPTATION FOR REGULARIZATION OPERATORS IN LEARNING THEORY	2010	Andrea Caponnetto Yuan Yao	2
+	The Elements of Statistical Learning	2001	Trevor Hastie J. Friedman Robert Tibshirani	2
+	Modifications and implementation of the ellipsoid algorithm for linear programming	1982	Donald Goldfarb Michael J. Todd	2
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	2
+ PDF Chat	On the conditions used to prove oracle results for the Lasso	2009	Sara A. van de Geer Peter Bühlmann	2
+	Regularization of Inverse Problems	1996	Heinz W. Engl Martin Hanke Andreas B. Neubauer	2