Latest AI/ML News
9894 articles · arXiv cs.LG
arXiv:2610.08785v1 Announce Type: new Abstract: Conformal prediction is a popular tool for uncertainty quantification that outputs prediction sets wit…
arXiv:2610.08750v1 Announce Type: new Abstract: Petri nets have been used to describe chemical processes such as reactions.They map well to chemistry:…
arXiv:2610.08745v1 Announce Type: new Abstract: We study linear bandits under exact sliding-window constraints, where every consecutive block of actio…
arXiv:2610.08743v1 Announce Type: new Abstract: Sequential recommenders typically use a fixed slate size even though the number of useful alternatives…
arXiv:2610.08740v1 Announce Type: new Abstract: Learning when the environment does not belong to the learner's hypothesis class is typically handled u…
arXiv:2610.08735v1 Announce Type: new Abstract: In online inverse linear optimization, a learner recommends an action and then observes the choice of…
arXiv:2610.08694v1 Announce Type: new Abstract: Gene expression is widely measured in biomedicine, yet clinical outcome prediction remains challenging…
arXiv:2610.08689v1 Announce Type: new Abstract: Counterfactual inference in Gaussian-process structural causal models (GP-SCMs) has been developed pri…
arXiv:2610.08680v1 Announce Type: new Abstract: Endpoint accuracy on abstract-reasoning benchmarks does not reveal whether a language model has acquir…
arXiv:2610.08677v1 Announce Type: new Abstract: Off-policy evaluation (OPE) for contextual bandit policies becomes challenging when action-level impor…
arXiv:2610.08670v1 Announce Type: new Abstract: Language models increasingly act as agents. An agent that says an action is wrong and then takes it an…
arXiv:2610.08669v1 Announce Type: new Abstract: On-device learning is necessary when the model encounters user-,sensor-, or environment-specific shift…
arXiv:2610.08624v1 Announce Type: new Abstract: We propose a method for choosing the shared memory parameter $\beta_1=\beta_2=\beta$ in Adam from a sh…
arXiv:2610.08593v1 Announce Type: new Abstract: Traditional approaches for automated bug detection in video games, such as manual testing, can be bene…
arXiv:2610.08592v1 Announce Type: new Abstract: CNet is a C++/CUDA framework for building and training deep complex-valued neural networks (CVNNs) and…
arXiv:2610.08578v1 Announce Type: new Abstract: Transformers provide a state-of-the-art modeling framework, yet poor calibration limits their reliabil…
arXiv:2610.08577v1 Announce Type: new Abstract: While unlearning seeks to negate undesired capabilities acquired through learning, little research has…
arXiv:2610.08570v1 Announce Type: new Abstract: Handcrafted preprocessing is widely employed in automated dermoscopic analysis to suppress imaging art…
arXiv:2610.08565v1 Announce Type: new Abstract: This article is a geometric rediscovery of the singular value decomposition, with a further claim: the…
arXiv:2610.08564v1 Announce Type: new Abstract: Tabular foundation models (TFMs) can classify the nodes of a graph without training on it, by reading…