Summary of Model Ensembling For Constrained Optimization, by Ira Globus-harris et al.
Model Ensembling for Constrained Optimizationby Ira Globus-Harris, Varun Gupta, Michael Kearns, Aaron RothFirst submitted to…
Model Ensembling for Constrained Optimizationby Ira Globus-Harris, Varun Gupta, Michael Kearns, Aaron RothFirst submitted to…
Transport of Algebraic Structure to Latent Embeddingsby Samuel Pfrommer, Brendon G. Anderson, Somayeh SojoudiFirst submitted…
Bayesian Inference with Deep Weakly Nonlinear Networksby Boris Hanin, Alexander ZlokapaFirst submitted to arxiv on:…
A unified law of robustness for Bregman divergence lossesby Santanu Das, Jatin Batra, Piyush SrivastavaFirst…
Mixture of Latent Experts Using Tensor Productsby Zhan Su, Fengran Mo, Prayag Tiwari, Benyou Wang,…
A Systematic Review of Federated Generative Modelsby Ashkan Vedadi Gargary, Emiliano De CristofaroFirst submitted to…
Toward Digitalization: A Secure Approach to Find a Missing Person Using Facial Recognition Technologyby Abid…
Variance-Reducing Couplings for Random Featuresby Isaac Reid, Stratis Markou, Krzysztof Choromanski, Richard E. Turner, Adrian…
A Study on Unsupervised Anomaly Detection and Defect Localization using Generative Model in Ultrasonic Non-Destructive…
Training-Conditional Coverage Bounds under Covariate Shiftby Mehrdad Pournaderi, Yu XiangFirst submitted to arxiv on: 26…