Summary of Tabular and Deep Reinforcement Learning For Gittins Index, by Harshit Dhankhar and Kshitij Mishra and Tejas Bodas
Tabular and Deep Reinforcement Learning for Gittins Indexby Harshit Dhankhar, Kshitij Mishra, Tejas BodasFirst submitted…
Summary of Interpretable Data-driven Anomaly Detection in Industrial Processes with Exiffi, by Davide Frizzo et al.
Interpretable Data-driven Anomaly Detection in Industrial Processes with ExIFFIby Davide Frizzo, Francesco Borsatti, Alessio Arcudi,…
Summary of Potential Energy Based Mixture Model For Noisy Label Learning, by Zijia Wang et al.
Potential Energy based Mixture Model for Noisy Label Learningby Zijia Wang, Wenbin Yang, Zhisong Liu,…
Summary of New Bounds on the Cohesion Of Complete-link and Other Linkage Methods For Agglomeration Clustering, by Sanjoy Dasgupta and Eduardo Laber
New bounds on the cohesion of complete-link and other linkage methods for agglomeration clusteringby Sanjoy…
Summary of Mtdt: a Multi-task Deep Learning Digital Twin, by Nooshin Yousefzadeh et al.
MTDT: A Multi-Task Deep Learning Digital Twinby Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan,…
Summary of Sparsetsf: Modeling Long-term Time Series Forecasting with 1k Parameters, by Shengsheng Lin et al.
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parametersby Shengsheng Lin, Weiwei Lin, Wentai Wu,…
Summary of The Role Of Model Architecture and Scale in Predicting Molecular Properties: Insights From Fine-tuning Roberta, Bart, and Llama, by Lee Youngmin et al.
The Role of Model Architecture and Scale in Predicting Molecular Properties: Insights from Fine-Tuning RoBERTa,…
Summary of Provably Efficient Reinforcement Learning For Adversarial Restless Multi-armed Bandits with Unknown Transitions and Bandit Feedback, by Guojun Xiong et al.
Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedbackby…
Summary of Intramix: Intra-class Mixup Generation For Accurate Labels and Neighbors, by Shenghe Zheng et al.
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighborsby Shenghe Zheng, Hongzhi Wang, Xianglong LiuFirst…
Summary of Recovering Labels From Local Updates in Federated Learning, by Huancheng Chen and Haris Vikalo
Recovering Labels from Local Updates in Federated Learningby Huancheng Chen, Haris VikaloFirst submitted to arxiv…