41 citations · 70 across the 6 of their papers we have counts for
5 papers · 1 filter
Recovering Structured Probability Matrices
Qingqing Huang, Sham M. Kakade, Weihao Kong +1
We consider the problem of accurately recovering a matrix B of size M by M , which represents a probability distribution over M2 outcomes, given access to an observed matrix of "co…
Super-Resolution Off the Grid
Qingqing Huang, Sham M. Kakade
Super-resolution is the problem of recovering a superposition of point sources using bandlimited measurements, which may be corrupted with noise. This signal processing problem ari…
Learning Mixtures of Gaussians in High Dimensions
Rong Ge, Qingqing Huang, Sham M. Kakade
Efficiently learning mixture of Gaussians is a fundamental problem in statistics and learning theory. Given samples coming from a random one out of k Gaussian distributions in Rn,…
Minimal Realization Problems for Hidden Markov Models
Qingqing Huang, Rong Ge, Sham Kakade +1
Consider a stationary discrete random process with alphabet size d, which is assumed to be the output process of an unknown stationary Hidden Markov Model (HMM). Given the joint pr…
Queue-Aware Dynamic Clustering and Power Allocation for Network MIMO Systems via Distributive Stochastic Learning
Ying Cui, Qingqing Huang, Vincent K. N. Lau
In this paper, we propose a two-timescale delay-optimal dynamic clustering and power allocation design for downlink network MIMO systems. The dynamic clustering control is adaptive…