Dong Dai

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All published works

Action	Title	Year	Authors
+	Bayesian Model Averaging With Exponentiated Least Squares Loss	2018	Dong Dai Lei Han Ting Yang Tong Zhang
+	Bayesian Model Averaging with Exponentiated Least Square Loss	2014	Dong Dai Lei Han Ting Yang Tong Zhang
+ PDF Chat	Aggregation of affine estimators	2014	Dong Dai Philippe Rigollet Lucy Xia Tong Zhang
+	Aggregation of Affine Estimators	2013	Dong Dai Philippe Rigollet Lucy Xia Tong Zhang
+	Deviation optimal learning using greedy $Q$-aggregation	2012	Dong Dai Philippe Rigollet Tong Zhang
+	Greedy Model Averaging	2011	Dong Dai Tong Zhang

Common Coauthors

Coauthor	Papers Together
Tong Zhang	4
Philippe Rigollet	3
Lucy Xia	2
Lei Han	2
Ting Yang	1
Ting Yang	1
Tong Zhang	1
Tong Zhang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Information Theory and Mixing Least-Squares Regressions	2006	G. Leung Andrew R. Barron	5
+	Optimal Rates of Aggregation	2003	Alexandre B. Tsybakov	5
+	Aggregation by Exponential Weighting and Sharp Oracle Inequalities	2007	Arnak S. Dalalyan Alexandre B. Tsybakov	5
+	Sparse Estimation by Exponential Weighting	2012	Philippe Rigollet Alexandre B. Tsybakov	5
+ PDF Chat	Adaptive estimation of a quadratic functional by model selection	2000	Béatrice Laurent Pascal Massart	4
+	MODEL SELECTION FOR NONPARAMETRIC REGRESSION	1997	Yuhong Yang	4
+ PDF Chat	Aggregation via empirical risk minimization	2008	Guillaume Lecué Shahar Mendelson	4
+	Deviation optimal learning using greedy $Q$-aggregation	2012	Dong Dai Philippe Rigollet Tong Zhang	4
+	Kullback–Leibler aggregation and misspecified generalized linear models	2012	Philippe Rigollet	4
+ PDF Chat	Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity	2008	Arnak S. Dalalyan A. B. Tsybakov	4
+	Statistical Learning Theory and Stochastic Optimization	2004	Olivier Catoni	3
+ PDF Chat	Functional aggregation for nonparametric regression	2000	Anatoli Juditsky Arkadi Nemirovski	3
+	Hyper-sparse optimal aggregation	2009	Stéphane Gaïffas Guillaume Lecué	3
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	3
+ PDF Chat	Exponential Screening and optimal rates of sparse estimation	2011	Philippe Rigollet Alexandre B. Tsybakov	3
+ PDF Chat	Learning by mirror averaging	2008	Anatoli Juditsky Philippe Rigollet A. B. Tsybakov	3
+	Sharp oracle inequalities for aggregation of affine estimators	2012	Arnak S. Dalalyan Joseph Salmon	3
+	Greedy Model Averaging	2011	Dong Dai Tong Zhang	3
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	2
+	On the optimality of the aggregate with exponential weights for low temperatures	2013	Guillaume Lecué Shahar Mendelson	2
+ PDF Chat	Simultaneous analysis of Lasso and Dantzig selector	2009	Peter J. Bickel Ya’acov Ritov Alexandre B. Tsybakov	2
+ PDF Chat	Linear and convex aggregation of density estimators	2007	Ph. Rigollet A. B. Tsybakov	2
+	Generalized mirror averaging and D-convex aggregation	2007	Karim Lounici	2
+	Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm	2008	Kenneth L. Clarkson	2
+	Convex Optimization without Projection Steps	2011	Martin Jaggi	2
+	Hyper-Sparse Optimal Aggregation	2011	GaïffasStéphane LecuéGuillaume	2
+	Introductory Lectures on Convex Optimization: A Basic Course	2014	Ю Е Нестеров	2
+ PDF Chat	Minimax Rates of Estimation for High-Dimensional Linear Regression Over $\ell_q$-Balls	2011	Garvesh Raskutti Martin J. Wainwright Bin Yu	2
+ PDF Chat	Sparsity oracle inequalities for the Lasso	2007	Florentina Bunea Alexandre B. Tsybakov Marten Wegkamp	2
+	Optimal learning with Q-aggregation	2014	Guillaume Lecué Philippe Rigollet	2
+ PDF Chat	Benchmark priors for Bayesian model averaging	2001	Carmen Fernández Eduardo Ley Mark F. J. Steel	1
+	Specification Searches: Ad Hoc Inference with Non-Experimental Data.	1981	Jean‐François Richard Edward E. Leamer	1
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	1
+	Expected-posterior prior distributions for model selection	2002	Jose Perez	1
+ PDF Chat	Un théorème sur les opérateurs linéaires entre espaces de Banach qui se factorisent par un espace de Hilbert	1980	Gilles Pisier	1
+	Adaptive Minimax Estimation over Sparse $\ell_q$-Hulls	2011	Zhan Wang Sandra Paterlini Frank Gao Yuhong Yang	1
+	Mixing least-squares estimators when the variance is unknown	2008	Christophe Giraud	1
+ PDF Chat	Sharper lower bounds on the performance of the empirical risk minimization algorithm	2010	Guillaume Lecué Shahar Mendelson	1
+ PDF Chat	Consistency of Bayesian procedures for variable selection	2009	George Casella F. J. Girón M. L. Martínez Elı́as Moreno	1
+	The Gelfand widths of l p -balls for 0<p≤1	2010	Simon Foucart Alain Pajor Holger Rauhut Tino Ullrich	1
+ PDF Chat	PAC-Bayesian bounds for sparse regression estimation with exponential weights	2011	Pierre Alquier Karim Lounici	1
+ PDF Chat	Default priors and predictive performance in Bayesian model averaging, with application to growth determinants	2009	Theo S. Eicher Chris Papageorgiou Adrian E. Raftery	1
+	Adaptive Minimax Estimation over Sparse l q-Hulls	2012	Zhan Wang Sandra Paterlini Fuchang Gao Yuhong Tang	1
+	On assessing prior distributions and Bayesian regression analysis with g-prior distributions	1986	Arnold Zellner	1
+ PDF Chat	Aggregated estimators and empirical complexity for least square regression	2004	Jean-Yves Audibert	1
+	The Gelfand widths of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" display="inline" overflow="scroll"><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow></mml:msub></mml:math>-balls for<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.gif" display="inline" overflow="scroll"><mml:mn>0</mml:mn><mml:mo><</mml:mo><mml:mi>p</mml:mi><mml:mo>≤</mml:mo><mml:mn>1</mml:mn></mml:math>	2010	Simon Foucart Alain Pajor Holger Rauhut Tino Ullrich	1
+	Introduction to Nonparametric Estimation	2008	Alexandre B. Tsybakov	1
+ PDF Chat	Objective Bayesian Methods for Model Selection: Introduction and Comparison	2001	James O. Berger Luis R. Pericchi	1
+ PDF Chat	Model selection in nonparametric regression	2003	Marten Wegkamp	1
+ PDF Chat	Consistency of objective Bayes factors as the model dimension grows	2010	Elı́as Moreno F. J. Girón George Casella	1