Summary of Low-tubal-rank Tensor Recovery Via Factorized Gradient Descent, by Zhiyu Liu et al.
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descentby Zhiyu Liu, Zhi Han, Yandong Tang, Xi-Le Zhao,…
Summary of Long-term Fair Decision Making Through Deep Generative Models, by Yaowei Hu et al.
Long-Term Fair Decision Making through Deep Generative Modelsby Yaowei Hu, Yongkai Wu, Lu ZhangFirst submitted…
Summary of Early Alignment in Two-layer Networks Training Is a Two-edged Sword, by Etienne Boursier et al.
Early alignment in two-layer networks training is a two-edged swordby Etienne Boursier, Nicolas FlammarionFirst submitted…
Summary of Langevin Unlearning: a New Perspective Of Noisy Gradient Descent For Machine Unlearning, by Eli Chien et al.
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearningby Eli Chien, Haoyu…
Summary of Mada: Meta-adaptive Optimizers Through Hyper-gradient Descent, by Kaan Ozkara et al.
MADA: Meta-Adaptive Optimizers through hyper-gradient Descentby Kaan Ozkara, Can Karakus, Parameswaran Raman, Mingyi Hong, Shoham…
Summary of Boosting Causal Additive Models, by Maximilian Kertel and Nadja Klein
Boosting Causal Additive Modelsby Maximilian Kertel, Nadja KleinFirst submitted to arxiv on: 12 Jan 2024CategoriesMain:…
Summary of Weak Correlations As the Underlying Principle For Linearization Of Gradient-based Learning Systems, by Ori Shem-ur et al.
Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systemsby Ori Shem-Ur, Yaron…
Summary of A Topological Description Of Loss Surfaces Based on Betti Numbers, by Maria Sofia Bucarelli et al.
A topological description of loss surfaces based on Betti Numbersby Maria Sofia Bucarelli, Giuseppe Alessio…
Summary of Understanding Representation Learnability Of Nonlinear Self-supervised Learning, by Ruofeng Yang et al.
Understanding Representation Learnability of Nonlinear Self-Supervised Learningby Ruofeng Yang, Xiangyuan Li, Bo Jiang, Shuai LiFirst…
Summary of Guaranteed Nonconvex Factorization Approach For Tensor Train Recovery, by Zhen Qin et al.
Guaranteed Nonconvex Factorization Approach for Tensor Train Recoveryby Zhen Qin, Michael B. Wakin, Zhihui ZhuFirst…