Minimality from uncertainty
How much of an action set should be foreclosed before you can learn?
A Decision-Theoretic Take on Social Choice
Using L2 to solve the preference dilution problem
The Bayesian Computation Wishlist
The fundamental operations that define the practice of Bayesian inference.
A tutorial on Bayesian Belief Bellman equations
And Information Directed Sampling
The Stochastic Chain Rule
A Tutorial on Itô's Lemma
Committed to Fidelity
A Unified Model for Multi-Fidelity Bandits
The Price of Belief
Deriving Probability from Rationality
In what sense is Bayesian updating optimal?
Minimizing Surprise Leads to Bayes' Rule
Why are future rewards worth less than present rewards?
A Bayesian Derivation of Discounting
Is the Efficient Market Hypothesis true?
Linearity, Non-Linearity, and a Confounding Conjunction
Every Bias Names an Algorithm
Bounded reasoners trade accuracy for efficiency in three places, and each trade leaves its own fingerprint
Luck vs skill in poker and life
Why does poker have many rounds?
Typicality
In high dimensions, typical is unintuitive
The MAP solution is not the best solution?
MAP produces solutions that are not typical
Projection into the typical set: PITS
A new approach to solving inverse problems
Diffusion posterior sampling
A review of recent work
Typical set of arbitrary distributions
Constructing the typical set for arbitrary distributions
Typical set of arbitrary distributions
Proving that the image of the typical set is the typical set of the image
Score functions, denoising and diffusion
Diffusion is just stacked denoising score matching!
Uncertainty and graphs
From uncertainty over constraints to uncertainty over graphs
Causal calculus
A connection between causal inference and gradients?
Visualising dataset alignment
Dataset alignment represented as tensor networks
Conserved complexity
A conservation law for algorithms?