Rajeev Verma
@rajevv.bsky.social
hoping this is the old gold twitter | PhD student at @amlab.bsky.social working on the foundations of machine learning | rajevv.github.io
new blog-post!
I reflect on the promise and pitfalls of calibration: can it enable individualized decision-making? Through the lens of actuarially fair insurance, I reason that maybe it can.
Link: rajevv.github.io/blog/calibra...
I reflect on the promise and pitfalls of calibration: can it enable individualized decision-making? Through the lens of actuarially fair insurance, I reason that maybe it can.
Link: rajevv.github.io/blog/calibra...
Redirecting...
rajevv.github.io
January 12, 2025 at 10:51 AM
new blog-post!
I reflect on the promise and pitfalls of calibration: can it enable individualized decision-making? Through the lens of actuarially fair insurance, I reason that maybe it can.
Link: rajevv.github.io/blog/calibra...
I reflect on the promise and pitfalls of calibration: can it enable individualized decision-making? Through the lens of actuarially fair insurance, I reason that maybe it can.
Link: rajevv.github.io/blog/calibra...
Super nice change. I hope more conferences follow.
ICML 2025 has some exciting changes. Here are two of my favorites.
1. Only 1 round of back-and-forth between authors & reviewers. The review process should not be an endless back and forth. It shouldn't be possible to get your paper accepted by exhausting reviewers.
1. Only 1 round of back-and-forth between authors & reviewers. The review process should not be an endless back and forth. It shouldn't be possible to get your paper accepted by exhausting reviewers.
December 20, 2024 at 8:01 AM
Super nice change. I hope more conferences follow.
Reposted by Rajeev Verma
Convex functions are differentiable (Hans Rademacher, 1919) and twice differentiable (Alexandre Alexandrov, 1939) almost everywhere. en.wikipedia.org/wiki/Alexand...
Alexandrov theorem - Wikipedia
en.wikipedia.org
December 15, 2024 at 5:27 PM
Convex functions are differentiable (Hans Rademacher, 1919) and twice differentiable (Alexandre Alexandrov, 1939) almost everywhere. en.wikipedia.org/wiki/Alexand...
Reposted by Rajeev Verma
Found slides by Ankur Moitra (presented at a TCS For All event) on "How to do theoretical research." Full of great advice!
My favourite: "Find the easiest problem you can't solve. The more embarrassing, the better!"
Slides: drive.google.com/file/d/15VaT...
TCS For all: sigact.org/tcsforall/
My favourite: "Find the easiest problem you can't solve. The more embarrassing, the better!"
Slides: drive.google.com/file/d/15VaT...
TCS For all: sigact.org/tcsforall/
December 13, 2024 at 8:31 PM
Found slides by Ankur Moitra (presented at a TCS For All event) on "How to do theoretical research." Full of great advice!
My favourite: "Find the easiest problem you can't solve. The more embarrassing, the better!"
Slides: drive.google.com/file/d/15VaT...
TCS For all: sigact.org/tcsforall/
My favourite: "Find the easiest problem you can't solve. The more embarrassing, the better!"
Slides: drive.google.com/file/d/15VaT...
TCS For all: sigact.org/tcsforall/
Very rarely I read a paper that changes my whole worldview, this is one of them: arxiv.org/abs/2401.14483
Four Facets of Forecast Felicity: Calibration, Predictiveness, Randomness and Regret
Machine learning is about forecasting. Forecasts, however, obtain their usefulness only through their evaluation. Machine learning has traditionally focused on types of losses and their corresponding ...
arxiv.org
December 11, 2024 at 8:03 PM
Very rarely I read a paper that changes my whole worldview, this is one of them: arxiv.org/abs/2401.14483