Estimation

Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension ACML 2019 Learning Linear Dynamical Systems with Semi-Parametric Least Squares COLT 2019 The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal NeurIPS 2018 Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation NeurIPS 2016 Consistent Kernel Mean Estimation for Functions of Random Variables NeurIPS 2016 Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators NeurIPS 2016 Quantized Random Projections and Non-Linear Estimation of Cosine Similarity NeurIPS 2016 Closed-form Estimators for High-dimensional Generalized Linear Models NeurIPS 2015 Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path NeurIPS 2015 On Elicitation Complexity NeurIPS 2015 Estimation with Norm Regularization NeurIPS 2014 Learning convolution filters for inverse covariance estimation of neural network connectivity NeurIPS 2014 Learning Time-Varying Coverage Functions NeurIPS 2014 Mode Estimation for High Dimensional Discrete Tree Graphical Models NeurIPS 2014 Multivariate f-divergence Estimation With Confidence NeurIPS 2014 Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NeurIPS 2014 Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NeurIPS 2013 Spectral methods for neural characterization using generalized quadratic models NeurIPS 2013 Density-Difference Estimation NeurIPS 2012 Entropy Estimations Using Correlated Symmetric Stable Random Projections NeurIPS 2012 Multi-Task Averaging NeurIPS 2012 Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NeurIPS 2012 Active Estimation of F-Measures NeurIPS 2010 b-Bit Minwise Hashing for Estimating Three-Way Similarities NeurIPS 2010 Distribution-Calibrated Hierarchical Classification NeurIPS 2009