Statistics
ConformalHDC: Uncertainty-Aware Hyperdimensional Computing with Application to Neural Decoding
Counterdiabatic Hamiltonian Monte Carlo
Input Design for System Identification via Convex Relaxation
Necessary and Sufficient Conditions for Success of the Nuclear Norm Heuristic for Rank Minimization
Bayesian Symbol Detection in Wireless Relay Networks via Likelihood-Free Inference
Exact Synchronization for Finite-State Sources
The mid-term periodicities in sunspot areas
Coupling Control Variates for Markov Chain Monte Carlo
Mean-Field Theory of Meta-Learning
The solution path of the generalized lasso
Multiscale Network Reduction Methodologies: Bistochastic and Disparity Filtering of Human Migration Flows between 3,000+ U. S. Counties
Semiparametric curve alignment and shift density estimation for biological data
Scientific evaluation of Charles Dickens
Estimating the null distribution for conditional inference and genome-scale screening
Computing Optimal Experimental Designs via Interior Point Method
In All Likelihood, Deep Belief Is Not Enough
Measurement error and deconvolution in spaces of generalized functions
Sequential design of computer experiments for the estimation of a probability of failure
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions
High-dimensional covariance estimation based on Gaussian graphical models
Degrees of Equivalence in a Key Comparison
Spectral clustering and the high-dimensional stochastic blockmodel
