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20152026
most citedOptimally Combining Classifiers Using Unlabeled Data

14 citations · 26 across the 16 of their papers we have counts for

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7 papers · 1 filter

cs.LG2026

Adaptive Bayes exactly tracks information over intrinsic time

Akshay Balsubramani

Bayesian and multiplicative-weights updates reweight experts, models, or actions from sequential feedback. We show that the regret of any such update obeys an exact information-acc…

math.PR2026

Information on trajectories: martingales and random times

Akshay Balsubramani

Accounting for information flow on the path space of trajectories of a nonnegative martingale yields exact variational identities for it, even at arbitrary random times. This recov…

cs.LG2026

The concentration game: Bayesian updating, regret, and information

Akshay Balsubramani

We give a two-player zero-sum repeated game between a learner and nature whose value identity generates Bayesian updating and an exact accounting of exponential-weights regret at o…

math.ST2026

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…

cs.IT2026

All you need is log

Akshay Balsubramani

How different are several probability distributions from one another? For two distributions the standard answer is the family of Rényi divergences, singled out by two natural requi…

stat.ME2026

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.…