Summary of Symmetry Discovery Beyond Affine Transformations, by Ben Shaw et al.
Symmetry Discovery Beyond Affine Transformationsby Ben Shaw, Abram Magner, Kevin R. MoonFirst submitted to arxiv…
Summary of Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher Model, by Jinyin Chen et al.
Robust Knowledge Distillation Based on Feature Variance Against Backdoored Teacher Modelby Jinyin Chen, Xiaoming Zhao,…
Summary of Distributional Adversarial Loss, by Saba Ahmadi et al.
Distributional Adversarial Lossby Saba Ahmadi, Siddharth Bhandari, Avrim Blum, Chen Dan, Prabhav JainFirst submitted to…
Summary of On the Maximal Local Disparity Of Fairness-aware Classifiers, by Jinqiu Jin et al.
On the Maximal Local Disparity of Fairness-Aware Classifiersby Jinqiu Jin, Haoxuan Li, Fuli FengFirst submitted…
Summary of No-regret Algorithms For Safe Bayesian Optimization with Monotonicity Constraints, by Arpan Losalka et al.
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraintsby Arpan Losalka, Jonathan ScarlettFirst submitted to…
Summary of Position: a Call to Action For a Human-centered Automl Paradigm, by Marius Lindauer and Florian Karl and Anne Klier and Julia Moosbauer and Alexander Tornede and Andreas Mueller and Frank Hutter and Matthias Feurer and Bernd Bischl
Position: A Call to Action for a Human-Centered AutoML Paradigmby Marius Lindauer, Florian Karl, Anne…
Summary of Mess: Modern Electronic Structure Simulations, by Hatem Helal and Andrew Fitzgibbon
MESS: Modern Electronic Structure Simulationsby Hatem Helal, Andrew FitzgibbonFirst submitted to arxiv on: 5 Jun…
Summary of On the Power Of Randomization in Fair Classification and Representation, by Sushant Agarwal et al.
On the Power of Randomization in Fair Classification and Representationby Sushant Agarwal, Amit DeshpandeFirst submitted…
Summary of Ethical Considerations Of Use Of Hold-out Sets in Clinical Prediction Model Management, by Louis Chislett et al.
Ethical considerations of use of hold-out sets in clinical prediction model managementby Louis Chislett, Louis…
Summary of High-dimensional Kernel Methods Under Covariate Shift: Data-dependent Implicit Regularization, by Yihang Chen et al.
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularizationby Yihang Chen, Fanghui Liu, Taiji Suzuki,…