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Statistical Learning

4,117 papers

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Papers

Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels NIPS 2016
The Multiple Quantile Graphical Model NIPS 2016
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models NIPS 2016
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning NIPS 2016
Supervised learning through the lens of compression NIPS 2016
Fast learning rates with heavy-tailed losses NIPS 2016
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation NIPS 2016
Consistent Estimation of Functions of Data Missing Non-Monotonically and Not at Random NIPS 2016
Selective inference for group-sparse linear models NIPS 2016
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models NIPS 2016
A Consistent Regularization Approach for Structured Prediction NIPS 2016
The Power of Adaptivity in Identifying Statistical Alternatives NIPS 2016
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability NIPS 2016
Statistical Inference for Cluster Trees NIPS 2016
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices NIPS 2016
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning NIPS 2016
Fast Algorithms for Robust PCA via Gradient Descent NIPS 2016
Kronecker Determinantal Point Processes NIPS 2016
Error Analysis of Generalized Nyström Kernel Regression NIPS 2016
Clustering with Bregman Divergences: an Asymptotic Analysis NIPS 2016
DECOrrelated feature space partitioning for distributed sparse regression NIPS 2016
An urn model for majority voting in classification ensembles NIPS 2016
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm NIPS 2016
High Dimensional Structured Superposition Models NIPS 2016
The Robustness of Estimator Composition NIPS 2016