There is a particular kind of exhaustion that only a researcher knows, and the researcher is living in it. After a rejection from UAI, a resubmission to a finance conference where the paper won a best paper award, and then another cold rejection from ICDM despite all positive scores, the question is no longer about the work itself. It is about the system. The researcher is stuck in the gap between two worlds: the applied, results-driven culture of finance and the novelty-obsessed, proof-heavy culture of computer science. And now they are asking a reasonable, practical question: should this go to ICLR or AIStats?
Let us be direct with you. That is the wrong question. The real question is whether the paper belongs in a venue that values the problem or a venue that values the method. CS venues keep saying the math is "just XXXXX" and that the paper lacks novelty. Meanwhile, a finance journal editor has already verbally offered to take the paper. That is not a small thing. That is a signal that the work has value where value is measured by outcomes, not by the elegance of a proof. The researcher's department requires a CS paper to graduate, so they are forced to play a game that does not fit their work. That is a constraint, not a research flaw.
We would tell this author what we tell anyone who is navigating this kind of pressure: do not mistake a mismatch for a deficiency. The fact that AIStats has no finance papers in recent years is not a warning sign that your work is too applied. It is a sign that you might be trying to fit a square peg into a round hole. ICLR, similarly, is a venue that increasingly rewards scale, benchmarks, and architectural novelty. If your paper's core contribution is a rigorous application of existing mathematical tools to a high-stakes problem, you are likely to face the same comments again. The same blank meta-reviews. The same silence. That is not a reflection of your work; it is a reflection of the venue's incentives.
Here is the takeaway we would offer, and it is one you can quote: "The best venue for your work is not the one with the highest prestige, but the one where the reviewers can actually see the value." If the finance editor is serious, and if the journal is Q1, then the path forward is not to force a CS conference acceptance. It is to submit to a CS venue that has a track record of accepting applied work, or to consider whether the department's requirement can be met with a different, more methodologically focused companion paper. The author has already proven the work can win awards. The problem is not the work. The problem is the box they are being asked to fit into.
The open question we are watching is whether the author will treat the system as a constraint to be navigated or as a verdict on their research. We would suggest the former. And we would also suggest that the blank meta-review from ICDM is not a mystery to solve. It is a sign that the reviewer did not have a substantive critique to offer. That happens. It is not a reason to change your research direction. It is a reason to change your venue strategy. The LaTeX template for AIStats 2027 is probably easy enough to find. The harder question is whether you are willing to accept that sometimes the right answer is not the one that fits the requirement, but the one that serves the work.