Akshay Sharma

icon indicating a website link https://akshay326.github.io/

icon location San Francisco icon location NLP @ Klarity.ai CS @ Columbia Univ.

Results 4 comments of Akshay Sharma

Benchmarking against other differentiable convex optimization softwares

how could i forget :sweat_smile: - https://github.com/cvxgrp/diffcp

Benchmarking against other differentiable convex optimization softwares

using QPs from http://qplib.zib.de/ Open to any other references!

Making Convex.jl DPP compliant

DPP compliance needs adding two more constraints apart from [already existing ones](https://github.com/JuliaOpt/Convex.jl/blob/master/src/dcp.jl). But firstly supporting a parameter type object is imperative :sweat_smile:

Making Convex.jl DPP compliant

A distinction between parameters and variables will suffice, at least on the data structure level. Then we find the derivative in following steps 1. Convex.jl already canonicalizes a `Model` object...