Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervisionby Zihan Wang,…
Image-Caption Encoding for Improving Zero-Shot Generalizationby Eric Yang Yu, Christopher Liao, Sathvik Ravi, Theodoros Tsiligkaridis,…
Counterfactual Fairness Is Not Demographic Parity, and Other Observationsby Ricardo SilvaFirst submitted to arxiv on:…
Verifiable evaluations of machine learning models using zkSNARKsby Tobin South, Alexander Camuto, Shrey Jain, Shayla…
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learningby Peter Vamplew, Cameron Foale, Conor F.…
Poisson Process for Bayesian Optimizationby Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu,…
Equivariant Symmetry Breaking Setsby YuQing Xie, Tess SmidtFirst submitted to arxiv on: 5 Feb 2024CategoriesMain:…
Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Ratingby…
Large Language Models are Geographically Biasedby Rohin Manvi, Samar Khanna, Marshall Burke, David Lobell, Stefano…
Statistical Guarantees for Link Prediction using Graph Neural Networksby Alan Chung, Amin Saberi, Morgane AusternFirst…