Summary of Noisy Node Classification by Bi-level Optimization Based Multi-teacher Distillation, By Yujing Liu et al.
Noisy Node Classification by Bi-level Optimization based Multi-teacher Distillationby Yujing Liu, Zongqian Wu, Zhengyu Lu,…
Summary of Large Language Model Agent As a Mechanical Designer, by Yayati Jadhav et al.
Large Language Model Agent as a Mechanical Designerby Yayati Jadhav, Amir Barati FarimaniFirst submitted to…
Summary of A Continuous Relaxation For Discrete Bayesian Optimization, by Richard Michael et al.
A Continuous Relaxation for Discrete Bayesian Optimizationby Richard Michael, Simon Bartels, Miguel González-Duque, Yevgen Zainchkovskyy,…
Summary of Learning Actionable Counterfactual Explanations in Large State Spaces, by Keziah Naggita and Matthew R. Walter and Avrim Blum
Learning Actionable Counterfactual Explanations in Large State Spacesby Keziah Naggita, Matthew R. Walter, Avrim BlumFirst…
Summary of An Explainable Deep Reinforcement Learning Model For Warfarin Maintenance Dosing Using Policy Distillation and Action Forging, by Sadjad Anzabi Zadeh et al.
An Explainable Deep Reinforcement Learning Model for Warfarin Maintenance Dosing Using Policy Distillation and Action…
Summary of Automated Model Selection For Generalized Linear Models, by Benjamin Schwendinger et al.
Automated Model Selection for Generalized Linear Modelsby Benjamin Schwendinger, Florian Schwendinger, Laura Vana-GürFirst submitted to…
Summary of Rebel: Reinforcement Learning Via Regressing Relative Rewards, by Zhaolin Gao et al.
REBEL: Reinforcement Learning via Regressing Relative Rewardsby Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen…
Summary of In-context Freeze-thaw Bayesian Optimization For Hyperparameter Optimization, by Herilalaina Rakotoarison and Steven Adriaensen and Neeratyoy Mallik and Samir Garibov and Edward Bergman and Frank Hutter
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimizationby Herilalaina Rakotoarison, Steven Adriaensen, Neeratyoy Mallik, Samir Garibov,…
Summary of Distributionally Robust Safe Screening, by Hiroyuki Hanada et al.
Distributionally Robust Safe Screeningby Hiroyuki Hanada, Satoshi Akahane, Tatsuya Aoyama, Tomonari Tanaka, Yoshito Okura, Yu…
Summary of A Dual Perspective Of Reinforcement Learning For Imposing Policy Constraints, by Bram De Cooman and Johan Suykens
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraintsby Bram De Cooman, Johan SuykensFirst…