First of all, you shouldn’t just hope your optimization problem is convex, you must prove it. Even if you do, it’s not necessarily the case that it can be expressed using CVX"s rules.
Even if you accomplished that, it may be that the needed value of lambda depends on the input data, sample. And would the solution of this regularized problem with a giant value of lambda be meaningful relative to your original purpose in trying to solve this optimization problem?