Submitted papers:
 Uniformly Valid PostRegularization Confidence Regions for Many Functional Parameters in ZEstimation Framework, with Victor Chernozhukov, Denis Chetverikov, and Ying Wei (pdf)
 Valid PostSelection Inference in HighDimensional Approximately Sparse Quantile Regression Models, with V. Chernozhukov and K. Kato (pdf)
 Computation of Optimal Dynamic Mechanism with Participation Requirements, with B. Chen and P. Sun
 Mechanism and Network Design with Private Negative Externalities, with C. Deng and S. Pekec.
 Conditional Quantile Processes based on Series or Many Regressors, with Victor Chernozhukov and Ivan FernandezVal (pdf)
 Resource Allocation Under Demand Uncertainty and
Private Information, with Giuseppe Lopomo and Shouqiang Wang
 Lasso Methods for Gaussian Instrumental Variables Models, with Victor Chernozhukov and Chris Hansen (pdf)
Published papers:
 Linear and Conic Programming Approaches to HighDimensional
Errorsinvariables Models, with M. Rosenbaum and A. Tsybakov (accepted at Journal of the Royal Statistical Society: Series B, 2016)
 Approximate group context tree, with Roberto I. Oliveira (pdf, accepted at The Annals of Statistics, 2016)
 Program Evaluation and Causal Inference with HighDimensional Data, with Victor Chernozhukov, Ivan FernandezVal and Chris Hansen (pdf, accepted at Econometrica 2016)
 PostSelection Inference for Generalized Linear Models with Many Controls, with Victor Chernozhukov and Ying Wei (pdf, accepted at Journal of Business & Economic Statistics 2016)
 An {L1, L2, Linf}Approach to HighDimensional Errorsinvariables Models, with Mathieu Rosenbaum and Alexandre B. Tsybakov (pdf, accepted at Electronic Journal of Statistics, 2015)
 Inference in High Dimensional Panel Models with an Application to Gun Control, with Victor Chernozhukov, Christian Hansen, and Damian Kozbur (pdf, accepted at Journal of Business & Economic Statistics, 2015)
 Comments on An Adaptive Resampling Test for Detecting the
Presence of Significant Predictors, with Victor Chernozhukov (accepted at Journal of American Statistical Association, 2015)
 On the Asymptotic Theory for Least Squares Series: Pointwise and Uniform Results, with Victor Chernozhukov, Denis Chetverikov and Kengo Kato (pdf, accepted at Journal of Econometrics, 2015)
 Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions, Tengyuan
Liang, Hariharan Narayanan and Alexander Rakhlin (pdf, COLT 2015, pp. 240265)
 Uniform Post Selection Inference for LAD Regression Models and Other Zestimators, with Victor Chernozhukov and Kengo Kato (pdf, Biometrika 102, 7794, 2015, arXiv:1304.0282)
 Pivotal Estimation via Squareroot Lasso in Nonparametric Regression, with Victor Chernozhukov and Lie Wang (pdf, The Annals of Statistics 42 (2), 757788, 2014, arXiv:1105.1475)
 HighDimensional Methods and Inference on Treatment and Structural Effects in Economics, with Alexandre Belloni and Chris Hansen (The Journal of Economic Perspectives 28 (2), 2950, 2014)
 Posterior Inference in Curved Exponential Families under Increasing Dimensions, with Victor Chernozhukov (pdf, The Econometrics Journal 17, no. 2, S75S100, 2014)
 Inference on Treatment Effects After Selection Amongst HighDimensional Controls, with Victor Chernozhukov and Christian Hansen (pdf, supplementary material, The Review of Economic Studies 81 (2), 608650, 2014, arXiv:1201.0224)
 Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain, with Daniel Chen, Victor Chernozhukov, and Chris Hansen (pdf, Econometrica, 2012, 80(6), 23692430)
 Inference Methods for HighDimensional Sparse Econometric Models, with Victor Chernozhukov and Chris Hansen (Advances in Economics and Econometrics, 10th World Congress of Econometric Society, Volume III, Econometrics, Edited by Daron Acemoglu, Manuel Arellano and Eddie Dekel, 245295.)
 Least Squares After Model Selection in Highdimensional Sparse Models, with Victor Chernozhukov (Bernoulli Volume 19, Number 2 (2013), 521547, pdf, Former title: PostL1Penalized Estimators in HighDimensional Linear Regression Models.)
 Optimal Admission and Scholarship Decisions: Choosing Customized Marketing Offers to Attract a Desirable Mix of Customers, with William Boulding, Richard Staelin, and Mitchell Lovett (pdf, Marketing Science July/August 2012 31:621636)
 Squareroot lasso: Pivotal Recovery of Sparse Signals via Conic Programming with Victor Chernozhukov and Lie Wang (Biometrika (2011) 98 (4): 791806, pdf)
 On multivariate quantiles under partial ordering, with Robert L. Winkler (The Annals of Statistics, Volume 39, Number 2, 2011, 11251179, pdf).
 L1Penalized Quantile Regression in HighDimensional Sparse Models, with Victor Chernozhukov (The Annals of Statistics, Volume 39, Number 1, 2011, 82130, pdf, R code for Monte Carlo, simple MatLab implementation that requires SDPT3).
 HighDimensional Sparse Econometric Models, an Introduction, with Victor Chernozhukov, Inverse Problems and HighDimensional Estimation, Springer Lecture Notes in Statistics, 2011, pp. 121156, pdf.
 Multidimensional Mechanism Design: Finite Dimensional Approximations and Efficient Computation, with Giuseppe Lopomo and Shouqiang Wang (Operations Research, Volume 58 Issue 4Part2, 2010, pp. 10791089, pdf).
 An Efficient Rescaled Perceptron Algorithm for Conic Systems, with Robert M. Freund and Santosh Vempala (Mathematics of Operations Research,
Volume 34 Issue 3, 2009, pp. 621641, pdf).
 On the Computational Complexity of Monte Carlo Markov Chain Based Estimators in Large Samples, with Victor Chernozhukov (The Annals of Statistics, Vol. 37, No. 4, 2009, pp. 20112055, pdf).
 On the BehrensFisher problem: a globally convergent algorithm and a finitesample study of the Wald, LR and LM tests, with Gustavo Didier (The Annals of Statistics, 2008, Vol. 36, No. 5, pp. 23772408, pdf).
 Optimal Product Line Design: Efficient Methods and Comparisons, with Robert M. Freund, Matthew Selove, and Duncan Simester (Management Science Vol. 54, No. 9, September 2008, pp. 15441552, pdf).
 On the SecondOrder Feasibility Cone: PrimalDual Representation and Efficient Projection, with Robert M. Freund. (SIAM Journal on Optimization, Volume 19, Issue 3, pp. 10731092, 2008, pdf).
 Dynamic Bundle Methods, with Claudia Sagastizabal (Mathematical Programming, Volume 120, Number 2 / September, 2009, pp. 289311, pdf).
 NormInduced Densities and Testing the Boundedness of a Convex Set (Mathematics of Operation Research, Vol. 33, No. 1, February 2008, pp. 235256, pdf).
 A geometric analysis of Renegar`s condition number, and its interplay with conic curvature, with Robert M. Freund (Mathematical Programming, Volume 119, Issue 1, 2009, pp. 95107, pdf).
 Projective Renormalization for Improving the Behavior of a Homogeneous Conic Convex System, with Robert M. Freund (Mathematical Programming 118, pp. 279299, 2009, pdf).
 On the Symmetry Function of a Convex Set, with Robert M. Freund (Mathematical Programming, Issue: Volume 111, Numbers 12 / January, 2008, Pages 5793, pdf).
 Lagrangian Based Heuristic for the Linear Ordering Problem, with Abilio Lucena (pdf). Metaheuristics: Computer DecisionMaking, Kluwer Academic Publishers, 2004, pp. 3764.
 Bundle Relaxation and Primal Recovery of Unit Commitment Problems. The Brazilian Case, with Andre Diniz, Maria E. P. Maceira and Claudia Sagastizabal. Annals of Operation Research, 120, pp. 2144, 2003 (pdf)
Other publications:
 Uncertainty Aversion applied to the Electrical Power, with Aloisio Araujo, PSR Technical Report 2011.
 Studies Integrating Geometry, Probability, and Optimization under Convexity, PhD Thesis, Massachusetts Institute of Technology, 2006.
 Introduction to Bundle Methods, IAP Lecture Notes 2005 (pdf).


My CV is here
Some papers are available via ArXiv
