arXiv Machine Learning

Bayesian Deck-of-cards-based Ordinal Regression with Sequential Preference Elicitation

arXiv Machine Learning

Jul 22

Elicitation without Backpropagation: Steering Model Behavior by Optimizing the Latent Posterior

arXiv:2607. 18804v1 Announce Type: new Abstract: In the \emph{latent posterior model} of transformer behavior, the next-token distribution arises from a posterior over latent predictive models conditioned on the context, mixed to generate continuations.

By Garrett Baker, Vinayak Pathak, Daniel Murfet, Susan Wei

llms

arXiv Machine Learning

Jun 24

LLMs are Bayesian, In Expectation, Not in Realization

arXiv:2507. 11768v3 Announce Type: replace-cross Abstract: Bayesian accounts of in-context learning face a direct objection: exact posterior predictives for exchangeable data are invariant to task-preserving order, yet transformers change next-token probabilities when the same examples are serialized differently.

By Leon Chlon, Fatima Sheaib, Zein Khamis, Maggie Chlon, Mahdi El Zein, MarcAntonio M. Awada

llms benchmarks

arXiv Machine Learning

Jun 30

A Mathematical Optimization Approach for Expert-Informed Bayesian Best Subset Selection

arXiv:2606. 29516v1 Announce Type: new Abstract: A central challenge in statistical modeling is identifying the subset of features that belong in the true regression model.

By Nolan Alexander, Henning Mortveit

arXiv Machine Learning

Jun 4

Bayesian learning for the stochastic shortest path problem

arXiv:2606. 04845v1 Announce Type: cross Abstract: Sequential decision-making problems are often modelled as a Markov decision process (MDP).

By Chon Wai Ho, Sumeetpal S. Singh, Jiaqi Guo

reinforcement-learning benchmarks

arXiv AI

Aug 3

Identifying Informative Environments for Cognition Parameter Inference via Bayesian Experimental Design

arXiv:2607. 28894v1 Announce Type: new Abstract: Computational cognitive modeling seeks to infer latent cognitive mechanisms underlying observed behavior.

By Manisha Dubey, Rimvydas Rubavicius, N. Siddharth, Subramanian Ramamoorthy

benchmarks

arXiv Machine Learning

Jul 7

Coverage-Controlled Preference Mining from Noisy Claim Verification for Evidence-Grounded Generation

arXiv:2603. 10494v2 Announce Type: replace-cross Abstract: Evidence-grounded generation produces summaries whose claims should be supported by supplied evidence, but claim-level verifiers provide noisy feedback and can reward models that simply say less.

By Weixin Liu, Congning Ni, Qingyuan Song, Susannah L. Rose, Murat Kantarcioglu, Bradley A. Malin, Zhijun Yin

llms rag nlp reinforcement-learning

arXiv Machine Learning

Aug 11

Adaptive KappaSharp: Condition-Number Shaping for Preferential Bayesian Optimization

arXiv:2608. 07859v1 Announce Type: new Abstract: Preferential Bayesian optimization (PBO) optimizes objectives accessible only through pairwise user comparisons.

By Ketong Shao, Jialu Wang, Xuekai Pei, Ali Mesbah

benchmarks

arXiv Machine Learning

Jul 30

BayesAME: Bayesian Active Model Evaluation

arXiv:2607. 27023v1 Announce Type: new Abstract: Evaluating large generative models across benchmarks is time-consuming and computationally expensive.

By Paula Cordero Encinar, Taylan Cemgil, Arnaud Doucet, Virginia Aglietti, Silvia Chiappa

benchmarks

arXiv AI

Aug 3

CalibratedRubric: Task-Adaptive Rubric Banks for Open-Ended LLM Evaluation

arXiv:2607. 29252v1 Announce Type: cross Abstract: Reliable evaluation of open-ended LLM outputs requires fine-grained rubrics, yet expert curation is costly and difficult to scale.

By Mengting Chen, Yanshu Sun, Wanting Liang, Beidi Luan, Rui Sun, Dezhi Chen, Jing Li, Zuo Bai

llms benchmarks

arXiv Machine Learning

Jun 26

MORL-A2C: Multi-Objective Reinforcement Learning Reranker for Optimizing Healthiness in MOPI-HFRS

arXiv:2606. 23603v2 Announce Type: replace Abstract: Unhealthy dietary behavior continues to be a persistent public health issue in the United States, exacerbated by recommendation systems that prioritize user preference without considering nutritional health.

By Aarya Vasantlal, Joshua Zolla, Chuxu Zhang

rag reinforcement-learning benchmarks safety

arXiv Statistics ML

Sep 24

BOCO: Bayesian Online Contextual Optimization for Decision-Focused Online Learning

arXiv:2511.20413v2 Announce Type: replace-cross Abstract: \emph{Decision-focused learning} (DFL) trains predictive models to optimize downstream decisions rather than prediction accuracy alone. While...

By Zhuojun Xie, Adam Abdin, Yiping Fang

arXiv Machine Learning

Aug 14

Chance-constrained selection of sequential intervention strategies from counterfactual estimates

arXiv:2608. 13209v1 Announce Type: cross Abstract: Many operational decisions are sequences of interventions under a cumulative resource limit, such as a maintenance schedule within a crew-hour budget.

By Minkyoung Kim, Beakcheol Jang

safety

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