14 citations · 26 across the 8 of their papers we have counts for
14 papers
The multiply iterated law of the iterated logarithm: game-theoretic foundations of sequential detection boundaries
Akshay Balsubramani
Anytime-valid confidence sequences and e-processes are built almost universally from one recipe: average exponential test statistics over a prior on the tilting scale, then invoke…
All you need is log
Akshay Balsubramani
Comparing two probability distributions is a basic building block of statistics and machine learning, and the right family is well understood: the Rényi divergences of order $α\in[…
Deviance-style normalization for jointly overdispersed counts
Akshay Balsubramani
We introduce a Dirichlet--multinomial (DM) deviance residualization for sparse, jointly overdispersed count matrices, the regime that dominates sequencing-based biochemical assays.…
Information from coincidences
Akshay Balsubramani
We prove a single algebraic mixed coincidence identity that unifies a broad swath of information-theoretic variational results. For any family of priors and real exponent…
Out-of-Distribution Detection Methods Answer the Wrong Questions
Yucen Lily Li, Daohan Lu, Polina Kirichenko +4
To detect distribution shifts and improve model safety, many out-of-distribution (OOD) detection methods rely on the predictive uncertainty or features of supervised models trained…
Laws of thermodynamics for exponential families
Akshay Balsubramani
We develop the laws of thermodynamics in terms of general exponential families. By casting learning (log-loss minimization) problems in max-entropy and statistical mechanics terms,…