Summary of Convergence Analysis Of Wide Shallow Neural Operators Within the Framework Of Neural Tangent Kernel, by Xianliang Xu et al.
Convergence analysis of wide shallow neural operators within the framework of Neural Tangent Kernelby Xianliang…
Summary of Learning High-degree Parities: the Crucial Role Of the Initialization, by Emmanuel Abbe et al.
Learning High-Degree Parities: The Crucial Role of the Initializationby Emmanuel Abbe, Elisabetta Cornacchia, Jan Hązła,…
Summary of Communication Compression For Distributed Learning Without Control Variates, by Tomas Ortega et al.
Communication Compression for Distributed Learning without Control Variatesby Tomas Ortega, Chun-Yin Huang, Xiaoxiao Li, Hamid…
Summary of How to Correctly Do Semantic Backpropagation on Language-based Agentic Systems, by Wenyi Wang et al.
How to Correctly do Semantic Backpropagation on Language-based Agentic Systemsby Wenyi Wang, Hisham A. Alyahya,…
Summary of Path-guided Particle-based Sampling, by Mingzhou Fan et al.
Path-Guided Particle-based Samplingby Mingzhou Fan, Ruida Zhou, Chao Tian, Xiaoning QianFirst submitted to arxiv on:…
Summary of A Granger-causal Perspective on Gradient Descent with Application to Pruning, by Aditya Shah et al.
A Granger-Causal Perspective on Gradient Descent with Application to Pruningby Aditya Shah, Aditya Challa, Sravan…
Summary of Conformal Symplectic Optimization For Stable Reinforcement Learning, by Yao Lyu et al.
Conformal Symplectic Optimization for Stable Reinforcement Learningby Yao Lyu, Xiangteng Zhang, Shengbo Eben Li, Jingliang…
Summary of Reliable and Scalable Variable Importance Estimation Via Warm-start and Early Stopping, by Zexuan Sun et al.
Reliable and scalable variable importance estimation via warm-start and early stoppingby Zexuan Sun, Garvesh RaskuttiFirst…
Summary of Explicit and Data-efficient Encoding Via Gradient Flow, by Kyriakos Flouris et al.
Explicit and data-Efficient Encoding via Gradient Flowby Kyriakos Flouris, Anna Volokitin, Gustav Bredell, Ender KonukogluFirst…
Summary of Neurolifting: Neural Inference on Markov Random Fields at Scale, by Yaomin Wang et al.
NeuroLifting: Neural Inference on Markov Random Fields at Scaleby Yaomin Wang, Chaolong Ying, Xiaodong Luo,…