Summary of A Distributionally Robust Optimisation Approach to Fair Credit Scoring, by Pablo Casas et al.
A Distributionally Robust Optimisation Approach to Fair Credit Scoringby Pablo Casas, Christophe Mues, Huan YuFirst…
A Distributionally Robust Optimisation Approach to Fair Credit Scoringby Pablo Casas, Christophe Mues, Huan YuFirst…
Distilling LLMs’ Decomposition Abilities into Compact Language Modelsby Denis Tarasov, Kumar ShridharFirst submitted to arxiv…
LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworksby Subbarao Kambhampati, Karthik Valmeekam, Lin…
PiCO: Peer Review in LLMs based on the Consistency Optimizationby Kun-Peng Ning, Shuo Yang, Yu-Yang…
Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networksby Akshay…
SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?by Hasan Abed Al Kader Hammoud,…
Neural variational Data Assimilation with Uncertainty Quantification using SPDE priorsby Maxime Beauchamp, Ronan Fablet, Simon…
Multi-Armed Bandits with Interferenceby Su Jia, Peter Frazier, Nathan KallusFirst submitted to arxiv on: 2…
Position Paper: Assessing Robustness, Privacy, and Fairness in Federated Learning Integrated with Foundation Modelsby Xi…
Explaining latent representations of generative models with large multimodal modelsby Mengdan Zhu, Zhenke Liu, Bo…