Summary of Provable Accuracy Bounds For Hybrid Dynamical Optimization and Sampling, by Matthew X. Burns et al.
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Samplingby Matthew X. Burns, Qingyuan Hou, Michael…
Summary of Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models with and Without Pre-trained Priors, by Michael J. Kenney et al.
Predicting Battery Capacity Fade Using Probabilistic Machine Learning Models With and Without Pre-Trained Priorsby Michael…
Summary of Fairedu: a Multiple Regression-based Method For Enhancing Fairness in Machine Learning Models For Educational Applications, by Nga Pham et al.
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applicationsby…
Summary of Amortized Shap Values Via Sparse Fourier Function Approximation, by Ali Gorji et al.
Amortized SHAP values via sparse Fourier function approximationby Ali Gorji, Andisheh Amrollahi, Andreas KrauseFirst submitted…
Summary of Compositional Risk Minimization, by Divyat Mahajan et al.
Compositional Risk Minimizationby Divyat Mahajan, Mohammad Pezeshki, Charles Arnal, Ioannis Mitliagkas, Kartik Ahuja, Pascal VincentFirst…
Summary of Bayesian Estimation and Tuning-free Rank Detection For Probability Mass Function Tensors, by Joseph K. Chege et al.
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensorsby Joseph K. Chege, Arie…
Summary of Differentiation Through Black-box Quadratic Programming Solvers, by Connor W. Magoon et al.
Differentiation Through Black-Box Quadratic Programming Solversby Connor W. Magoon, Fengyu Yang, Noam Aigerman, Shahar Z.…
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 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 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…