maximum likelihood estimator

Fisher Efficient Inference of Intractable Models NeurIPS 2019 Robust Matrix Completion from Quantized Observations AISTATS 2019 The All-or-Nothing Phenomenon in Sparse Linear Regression COLT 2019 Clustering from General Pairwise Observations with Applications to Time-varying Graphs JMLR 2017 Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent AISTATS 2017 Rates of estimation for determinantal point processes COLT 2017 Learning Granger Causality for Hawkes Processes ICML 2016 Quantized Random Projections and Non-Linear Estimation of Cosine Similarity NeurIPS 2016 Alternating Minimization for Regression Problems with Vector-valued Outputs NeurIPS 2015 Minimax-optimal Inference from Partial Rankings NeurIPS 2014 Open Problem: Tightness of maximum likelihood semidefinite relaxations COLT 2014 Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting ICML 2014 Multi-Task Averaging NeurIPS 2012 Random Utility Theory for Social Choice NeurIPS 2012 The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators COLT 2012