Summary of Rankability-enhanced Revenue Uplift Modeling Framework For Online Marketing, by Bowei He et al.
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketingby Bowei He, Yunpeng Weng, Xing Tang, Ziqiang…
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketingby Bowei He, Yunpeng Weng, Xing Tang, Ziqiang…
Parameter-free Clipped Gradient Descent Meets Polyakby Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto…
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Costby Xinyi Shang, Peng…
AnyLoss: Transforming Classification Metrics into Loss Functionsby Doheon Han, Nuno Moniz, Nitesh V ChawlaFirst submitted…
Learning with Fitzpatrick Lossesby Seta Rakotomandimby, Jean-Philippe Chancelier, Michel de Lara, Mathieu BlondelFirst submitted to…
Poisson Variational Autoencoderby Hadi Vafaii, Dekel Galor, Jacob L. YatesFirst submitted to arxiv on: 23…
Smooth Pseudo-Labelingby Nikolaos Karaliolios, Hervé Le Borgne, Florian ChabotFirst submitted to arxiv on: 23 May…
High-dimensional Learning with Noisy Labelsby Aymane El Firdoussi, Mohamed El Amine SeddikFirst submitted to arxiv…
Enhancing Image Layout Control with Loss-Guided Diffusion Modelsby Zakaria Patel, Kirill SerkhFirst submitted to arxiv…
Automated Loss function Search for Class-imbalanced Node Classificationby Xinyu Guo, Kai Wu, Xiaoyu Zhang, Jing…