Summary of Batched Bayesian Optimization with Correlated Candidate Uncertainties, by Jenna Fromer et al.
Batched Bayesian optimization with correlated candidate uncertaintiesby Jenna Fromer, Runzhong Wang, Mrunali Manjrekar, Austin Tripp,…
Summary of Fedgraph: a Research Library and Benchmark For Federated Graph Learning, by Yuhang Yao et al.
FedGraph: A Research Library and Benchmark for Federated Graph Learningby Yuhang Yao, Yuan Li, Xinyi…
Summary of Tree-based Leakage Inspection and Control in Concept Bottleneck Models, by Angelos Ragkousis et al.
Tree-Based Leakage Inspection and Control in Concept Bottleneck Modelsby Angelos Ragkousis, Sonali ParbhooFirst submitted to…
Summary of Uncertainty Estimation Via Ensembles Of Deep Learning Models and Dropout Layers For Seismic Traces, by Giovanni Messuti et al.
Uncertainty estimation via ensembles of deep learning models and dropout layers for seismic tracesby Giovanni…
Summary of Zero-shot Learning Of Causal Models, by Divyat Mahajan et al.
Zero-Shot Learning of Causal Modelsby Divyat Mahajan, Jannes Gladrow, Agrin Hilmkil, Cheng Zhang, Meyer ScetbonFirst…
Summary of Estimating the Number Of Http/3 Responses in Quic Using Deep Learning, by Barak Gahtan et al.
Estimating the Number of HTTP/3 Responses in QUIC Using Deep Learningby Barak Gahtan, Robert J.…
Summary of Quality Diversity Imitation Learning, by Zhenglin Wan et al.
Quality Diversity Imitation Learningby Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo,…
Summary of Markov Equivalence and Consistency in Differentiable Structure Learning, by Chang Deng et al.
Markov Equivalence and Consistency in Differentiable Structure Learningby Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon…
Summary of Qgym: Scalable Simulation and Benchmarking Of Queuing Network Controllers, by Haozhe Chen et al.
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllersby Haozhe Chen, Ang Li, Ethan Che,…
Summary of Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines, by Edward Milsom et al.
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machinesby Edward Milsom, Ben Anson, Laurence AitchisonFirst…