Summary of Recursive Nested Filtering For Efficient Amortized Bayesian Experimental Design, by Sahel Iqbal et al.
Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Designby Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites,…
Summary of Exploiting the Data Gap: Utilizing Non-ignorable Missingness to Manipulate Model Learning, by Deniz Koyuncu et al.
Exploiting the Data Gap: Utilizing Non-ignorable Missingness to Manipulate Model Learningby Deniz Koyuncu, Alex Gittens,…
Summary of Operator Learning with Gaussian Processes, by Carlos Mora et al.
Operator Learning with Gaussian Processesby Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, Houman Owhadi, Ramin BostanabadFirst…
Summary of Latent Space Energy-based Neural Odes, by Sheng Cheng et al.
Latent Space Energy-based Neural ODEsby Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian…
Summary of Resultant: Incremental Effectiveness on Likelihood For Unsupervised Out-of-distribution Detection, by Yewen Li et al.
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detectionby Yewen Li, Chaojie Wang, Xiaobo Xia,…
Summary of Semi-supervised Sparse Gaussian Classification: Provable Benefits Of Unlabeled Data, by Eyar Azar and Boaz Nadler
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Databy Eyar Azar, Boaz NadlerFirst submitted to…
Summary of Imitating Language Via Scalable Inverse Reinforcement Learning, by Markus Wulfmeier et al.
Imitating Language via Scalable Inverse Reinforcement Learningby Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja,…
Summary of Continual Learning with the Neural Tangent Ensemble, by Ari S. Benjamin et al.
Continual learning with the neural tangent ensembleby Ari S. Benjamin, Christian Pehle, Kyle DaruwallaFirst submitted…
Summary of Minimax and Communication-efficient Distributed Best Subset Selection with Oracle Property, by Jingguo Lan et al.
Minimax and Communication-Efficient Distributed Best Subset Selection with Oracle Propertyby Jingguo Lan, Hongmei Lin, Xueqin…
Summary of A Gradient Analysis Framework For Rewarding Good and Penalizing Bad Examples in Language Models, by Yi-lin Tuan et al.
A Gradient Analysis Framework for Rewarding Good and Penalizing Bad Examples in Language Modelsby Yi-Lin…