no code implementations • 16 Apr 2015 • Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapathi, Ananda Theertha Suresh
There has been considerable recent interest in distribution-tests whose run-time and sample requirements are sublinear in the domain-size $k$.
no code implementations • 29 May 2014 • Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh
The Poisson-sampling technique eliminates dependencies among symbol appearances in a random sequence.
no code implementations • NeurIPS 2014 • Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh
For mixtures of any $k$ $d$-dimensional spherical Gaussians, we derive an intuitive spectral-estimator that uses $\mathcal{O}_k\bigl(\frac{d\log^2d}{\epsilon^4}\bigr)$ samples and runs in time $\mathcal{O}_{k,\epsilon}(d^3\log^5 d)$, both significantly lower than previously known.
