activity
20232026
most citedIncentivizing honest performative predictions with proper scoring rules

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

A dataset of rated conceptual arguments

Emery Cooper, Caspar Oesterheld, Linh Chi Nguyen +2

Large language models have improved rapidly on tasks with verifiable answers, such as mathematics and programming. Much less is known about their ability to reason about what we ca…

cs.GT2025

Characterising Simulation-Based Program Equilibria

Emery Cooper, Caspar Oesterheld, Vincent Conitzer

In Tennenholtz's program equilibrium, players of a game submit programs to play on their behalf. Each program receives the other programs' source code and outputs an action. This c…

cs.AI2024

Can CDT rationalise the ex ante optimal policy via modified anthropics?

Emery Cooper, Caspar Oesterheld, Vincent Conitzer

In Newcomb's problem, causal decision theory (CDT) recommends two-boxing and thus comes apart from evidential decision theory (EDT) and ex ante policy optimisation (which prescribe…

cs.CL2024

A dataset of questions on decision-theoretic reasoning in Newcomb-like problems

Caspar Oesterheld, Emery Cooper, Miles Kodama +2

We introduce a dataset of natural-language questions in the decision theory of so-called Newcomb-like problems. Newcomb-like problems include, for instance, decision problems in wh…

cs.AI2023★ 2 cited

Incentivizing honest performative predictions with proper scoring rules

Caspar Oesterheld, Johannes Treutlein, Emery Cooper +1

Proper scoring rules incentivize experts to accurately report beliefs, assuming predictions cannot influence outcomes. We relax this assumption and investigate incentives when pred…