Summary of One-step Noisy Label Mitigation, by Hao Li et al.
One-step Noisy Label Mitigationby Hao Li, Jiayang Gu, Jingkuan Song, An Zhang, Lianli GaoFirst submitted…
Summary of Which Algorithms Have Tight Generalization Bounds?, by Michael Gastpar et al.
Which Algorithms Have Tight Generalization Bounds?by Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas WeinbergerFirst submitted…
Summary of Fairlyuncertain: a Comprehensive Benchmark Of Uncertainty in Algorithmic Fairness, by Lucas Rosenblatt and R. Teal Witter
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairnessby Lucas Rosenblatt, R. Teal WitterFirst submitted…
Summary of Bayesian Binary Search, by Vikash Singh et al.
Bayesian Binary Searchby Vikash Singh, Matthew Khanzadeh, Vincent Davis, Harrison Rush, Emanuele Rossi, Jesse Shrader,…
Summary of Proxi: Challenging the Gnns For Link Prediction, by Astrit Tola et al.
PROXI: Challenging the GNNs for Link Predictionby Astrit Tola, Jack Myrick, Baris CoskunuzerFirst submitted to…
Summary of Uncertainty Quantification with Bayesian Higher Order Relu Kans, by James Giroux et al.
Uncertainty Quantification with Bayesian Higher Order ReLU KANsby James Giroux, Cristiano FanelliFirst submitted to arxiv…
Summary of Torchsisso: a Pytorch-based Implementation Of the Sure Independence Screening and Sparsifying Operator For Efficient and Interpretable Model Discovery, by Madhav Muthyala and Farshud Sorourifar and Joel A. Paulson
TorchSISSO: A PyTorch-Based Implementation of the Sure Independence Screening and Sparsifying Operator for Efficient and…
Summary of Utility-directed Conformal Prediction: a Decision-aware Framework For Actionable Uncertainty Quantification, by Santiago Cortes-gomez et al.
Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantificationby Santiago Cortes-Gomez, Carlos Patiño, Yewon…
Summary of Automated Red Teaming with Goat: the Generative Offensive Agent Tester, by Maya Pavlova et al.
Automated Red Teaming with GOAT: the Generative Offensive Agent Testerby Maya Pavlova, Erik Brinkman, Krithika…
Summary of Shapiq: Shapley Interactions For Machine Learning, by Maximilian Muschalik et al.
shapiq: Shapley Interactions for Machine Learningby Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara…