bio  website  suvrit.de 

location  Berkeley, CA  
age  
visits  member for  4 years 
seen  2 hours ago  
stats  profile views  8,115 
Researcher in Optimization, Machine Learning, etc.
Hobbyist in: Inequalities, Matrix Analysis, Noncommutative polynomials, and related algebras.
I'm here to learn; if you think there's any $\epsilon$ that I might be able to say to a problem of yours, please don't hesitate to contact me.
2d

reviewed  Close Significance Testing for Periodic Component in additive of white noise 
2d

reviewed  Close How to prove a Proposition of Rouquier? 
Aug 14 
reviewed  Close application of functional analysis in the field of Stochastic Approximation/Optimization 
Aug 12 
awarded  Yearling 
Aug 10 
reviewed  Close How are two tailed p values (especially) and one tailed p values useful given the following? 
Aug 9 
comment 
Examples of research on how people perceive mathematical objects
I think there is a substantial conflation between math and physics going on here  but I may be totally missing the point of this question.... 
Aug 7 
comment 
Cauchy matrices with elementary symmetric polynomials
I think I proved this a few months ago! once I get a chance, I'll update this answer. 
Jul 25 
awarded  Notable Question 
Jul 25 
comment 
Examples of famous 'workhorse' theorems
I thought the question asked for "...technically challenging to prove..." 
Jul 23 
reviewed  Leave Open Removing an article from arxiv 
Jul 22 
comment 
AI / Machine Learning related to high/modern/front mathematics
@RHahn: actually you'd be surprised; knowledge of measure theory is useful in ML research; see e.g., arxiv.org/abs/1202.6504, arxiv.org/abs/0907.5309, amongst many others. 
Jul 22 
comment 
AI / Machine Learning related to high/modern/front mathematics
This answer is a work in progress; I'll improve it with references to books and papers to make it more useful, as soon as I get a chance 
Jul 22 
answered  AI / Machine Learning related to high/modern/front mathematics 
Jul 22 
comment 
A possible extension of a determinant inequality
@NathanielJohnston: nice find! Indeed that exercise of Bhatia proves $[\det(A_{ij})] \ge 0$, which seems to be an easier statement than the one shown above (more generally, the complete positivity of the immanant has been long known since at least the 60s) 
Jul 16 
comment 
Convergence rate of stochastic gradient decent with projections
Strong convexity implies strict convexity; Also, the convergence rate is unchanged (it is still O(1/t) )  that is, "stochastic projected subgradient" will have O(1/t) convergence rate for strongly convex problems (on a true stochastic optimization problem) 
Jul 15 
answered  Is the proxresidual monotone? 
Jul 10 
awarded  Good Answer 
Jul 10 
reviewed  Close Do's and don'ts of writing survey papers 
Jul 8 
awarded  Fanatic 
Jul 7 
reviewed  Close How can I calculate $ \sum_{i=1}^{n} (n \bmod i) $ 