thanks! this has tripped me up---would appreciate clarification. I see why wealth & utility are separate in finance (risk aversion via concave f), but if the utility u(a,y) is explicitly given, what does adding an extra f on top add over directly encoding preferences into u?
08.02.2025 12:08 — 👍 1 🔁 0 💬 1 📌 0
Super cool work! I might be misunderstanding, but could you clarify why expectation maximizing is equated with risk neutrality? I thought risk-averse agents also maximize expectations, just over a concave utility fn. (per VNM). Curious how you think about this!
06.02.2025 16:03 — 👍 1 🔁 0 💬 1 📌 0
Redirecting...
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...
12.01.2025 10:51 — 👍 1 🔁 0 💬 0 📌 0
Super nice change. I hope more conferences follow.
20.12.2024 08:01 — 👍 1 🔁 0 💬 0 📌 0
Alexandrov theorem - Wikipedia
Convex functions are differentiable (Hans Rademacher, 1919) and twice differentiable (Alexandre Alexandrov, 1939) almost everywhere. en.wikipedia.org/wiki/Alexand...
15.12.2024 17:27 — 👍 63 🔁 7 💬 1 📌 1
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/
13.12.2024 20:31 — 👍 133 🔁 29 💬 3 📌 4
PhD student at U Penn, interested in bridging responsible and robust algorithm design and practice.
Lecturer @kcl-spe.bsky.social @kingscollegelondon.bsky.social
Game Theory, Econ & CS, Pol-Econ, Sport
Chess ♟️
Game Theory Corner at Norway Chess
Studied in Istanbul -> Paris -> Bielefeld -> Maastricht
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Views are my own
Postdoc at SRON | Previously PhD at AMLab & AI4Science Lab, University of Amsterdam
Interested in AI for Earth science & ecology, hybrid modeling, geospatial machine learning
Trustworthy AI/ML in healthcare & high-stakes apps | My job is (mostly) error bars \SaluteEmoji (eg, conformal prediction) | CS PhD at Johns Hopkins. Prev at Yale. he/him
https://drewprinster.github.io/
Aspiring philosopher; tolerable human; "amusing combination of sardonic detachment & literally all the feelings felt entirely unironically all at once" [he/his]
source: https://arxiv.org/rss/stat.ML
maintainer: @tmaehara.bsky.social
Former academic philosopher. Currently measuring and estimating stuff in the insurance industry. Interested in decision making, uncertainty, and long walks on the beach.
Philosopher at University of Bristol 🏳️🌈 he/him
https://richardpettigrew.com/
Books: Epistemic Risk and the Demands of Rationality | Choosing for Changing Selves | Dutch Book Arguments | Accuracy and the Laws of Credence | Who Are Universities For?
Philosophy and Game Theory at Carnegie Mellon 🦚 Research the interface between philosophy, economics, and biology 💱 www.kevinzollman.com
AI, Decision Theory, Epistemology, Ethics
lelkin.com
Learning in non-Euclidean spaces | ELLIS PhD student @ VIS Lab, University of Amsterdam | Board Member @ WiCVWorkshop | Open to internships for spring/summer 2025.
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
PhD Student at the ILLC / UvA doing work at the intersection of (mechanistic) interpretability and cognitive science. Current Anthropic Fellow.
hannamw.github.io
PhD candidate @amlab.bsky.social @ellis.eu
Probabilistic Machine Learning | Sequence Models
Lecturer at the University of Bristol.
probabilistic ML, optimisation, interpretability, LLM evals.
Associate Professor & Co-Founder - Dynamical Deep Learning
