1 citations · 1 across the 6 of their papers we have counts for
6 papers
Conformal Language Modeling via Posterior Sampling
Nicolas Emmenegger, Theo X. Olausson, Armando Solar-Lezama +1
Large Language Models remain plagued by hallucinations. Recent work has sought to tame their prevalence using statistical techniques based on conformal prediction, with both theore…
Prediction-Powered Inference Across Many Tasks for AI Evaluation & Social Science Research
Nicolas Emmenegger, Ellery Stahler, Chara Podimata
Many applications require statistically valid inference across many related tasks, while using only a handful of high-quality labels per hypothesis. In AI evaluation, these tasks m…
Likelihood Ratio Confidence Sets for Sequential Decision Making
Nicolas Emmenegger, Mojmír Mutný, Andreas Krause
Certifiable, adaptive uncertainty estimates for unknown quantities are an essential ingredient of sequential decision-making algorithms. Standard approaches rely on problem-depende…
Anytime Model Selection in Linear Bandits
Parnian Kassraie, Nicolas Emmenegger, Andreas Krause +1
Model selection in the context of bandit optimization is a challenging problem, as it requires balancing exploration and exploitation not only for action selection, but also for mo…
On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization
Nicolas Emmenegger, Rasmus Kyng, Ahad N. Zehmakan
We prove lower bounds for higher-order methods in smooth non-convex finite-sum optimization. Our contribution is threefold: We first show that a deterministic algorithm cannot prof…
Gauge Invariance and Gauge-Factor Group in Causal Yang-Mills Theory
N. Emmenegger
In the present work the gauge invariance of causal Yang-Mills theory will be proven with the aid of the gauge-factor group. For that purpose it must be shown, that the operator val…