Area 5: New Challenges for New Data

 

Author Title (w Links) Journal Date
Anna SIMONI Bayesian Estimation and Comparison of Moment Condition Models Journal of the American Statistical Association 2018
Anna SIMONI Semiparametric Estimation of Random Coefficients in Structural Economic Models  Econometric Theory 2017
Anna SIMONI Nonparametric Estimation in case of Endogenous Selection Journal of Econometrics 2018
Pierre BELLEC Optimal bounds for aggregation of affine estimators Annals of Statistics 2018
Pierre BELLEC Sharp oracle inequalities for Least Squares estimators in shape restricted regression Annals of Statistics 2018
Alexandre TSYBAKOV Aggregation and minimax optimality in high-dimensional estimation Proceedings of International Congress of Mathematicians 2014
Alexandre TSYBAKOV Estimation of low-rank covariance function.  Stochastic Processes and their Applications 2016
Alexandre TSYBAKOV An-regularization approach to high-dimensional errors-in-variables models Electronic Journal of Statistics 2016
Alexandre TSYBAKOV Empirical entropy, minimax regret and minimax risk Bernoulli 2017
Alexandre TSYBAKOV Oracle inequalities for network models and sparse graphon estimation Annals of Statistics 2017
Alexandre TSYBAKOV Linear and conic programming estimators in high-dimensional errors-in-variables models Journal of the Royal Statist. Soc 2017
Alexandre TSYBAKOV Minimax estimation of linear and quadratic functionals on sparsity classes Annals of Statistics 2017
Alexandre TSYBAKOV Variable selection with Hamming loss Annals of Statistics 2015
Alexandre TSYBAKOV Optimal adaptive  estimation of linear functionals under sparsity. Annals of Statistics 2016
Alexandre TSYBAKOV Slope meets Lasso: improved oracle bounds and optimality Annals of Statistics 2018
Alexandre TSYBAKOV Sparse covariance matrix estimation in high-dimensional deconvolution Bernoulli 2018
Pierre ALQUIER An Oracle Inequality for Quasi-Bayesian Non-negative Matrix Factorization Mathematical Methods of Statistics 2017
Pierre ALQUIER Estimation Bounds and Sharp Oracle Inequalities of Regularized Procedures with Lipschitz Loss Functions Annals of Statistics 2018
Pierre ALQUIER Informed Sub-Sampling MCMC: Approximate Bayesian Inference for Large Datasets Statistics and Computing 2018
Pierre ALQUIER Regret Bounds for Lifelong Learning AISTATS 2017
Vincent COTTET 1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation Machine Learning 2017
Arnak DALALYAN Minimax Rates in Permutation Estimation for Feature Matching Journal of Machine Learning Research 2016
Arnak DALALYAN On the Exponentially Weighted Aggregate with the Laplace Prior Annals of Statistics 2018
Arnak DALALYAN On estimation of the diagonal elements of a sparse precision matrix  Electronic Journal of Statistics 2016
Arnak DALALYAN Curve registration by nonparametric goodness-of-fit testing J. Statist. Plann. Inference 2015
Arnak DALALYAN Discussion on the paper: Hypotheses testing by convex optimization  Electronic Journal of Statistics 2015
Arnak DALALYAN Theoretical guarantees for approximate sampling from a smooth and log-concave density J. R. Statist. Soc. B 2017
Arnak DALALYAN Estimating linear functionals of a sparse family of Poisson means Statistical Inference for Stochastic Processes 2018
Arnak DALALYAN On the prediction loss of the lasso in the partially labeled setting Electronic Journal of Statistics 2016
Arnak DALALYAN Optimal Kullback-Leibler Aggregation in Mixture Density Estimation by Maximum Likelihood Math. Stat. Learn. 2018
Arnak DALALYAN Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent Proceedings of Machine Learning Research 2017
Nicolas CHOPIN Control functionals for Monte Carlo integration.  J. R. Statist. Soc. B 2017
Nicolas CHOPIN Sequential Monte Carlo Methods in Random Intercept Models for Longitudinal Data Bayesian Statistics in Action 2017
Guillaume LECUE Regularization and the small-ball method II: complexity dependent error rates Journal of Machine Learning Research 2017
Guillaume LECUE Regularization and the small-ball method I: sparse recovery Annals of Statistics 2018
Johan HOMBERT Can Innovation Help U.S. Manufacturing Firms Escape Import Competition from China? Journal of Finance 2018
Cathy YANG Attention, Information Processing and Choice in Incentive-Aligned Choice Experiments Journal of Marketing Research 2018
Gilles STOLTZ Fundamentals and exchange rate forecastability with simple machine learning methods Journal of International Money and Finance 2018
Kristine DE VALCK The Effect of Electronic Word of Mouth on Sales: A Meta-Analytic Review of Platform, Product, and Metric Factors Journal of Marketing Research 2016
Judith ROUSSEAU Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator Annals of Statistics 2017
Alexis DERUMIGNY Improved bounds for Square-Root Lasso and Square-Root Slope Electronic Journal of Statistics 2018
Jean-Bernard SALOMOND Concentration rate and consistency of the posterior distribution for selected priors under monotonicity constraints Electronic Journal of Statistics 2014
Nicolas CHOPIN Leave Pima Indians Alone: Binary Regression as a Benchmark for Bayesian Computation Statistical Science 2017
Jean-Bernard SALOMOND A general approach to posterior contraction in nonparametric inverse problems Bernoulli 2018