On the Convergence Rate of Training Recurrent Neural Networks

29 October 2018

Papers citing "On the Convergence Rate of Training Recurrent Neural Networks"

50 / 128 papers shown

Title
Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches Yifang Chen Xuyang Guo Xiaoyu Li Yingyu Liang Zhenmei Shi Zhao Song 73 3 0 03 Mar 2025
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation Can Jin Ying Li Mingyu Zhao Shiyu Zhao Zhenting Wang Xiaoxiao He Ligong Han Tong Che Dimitris N. Metaxas VPVLM VLM 124 1 0 02 Feb 2025
Generalization and Risk Bounds for Recurrent Neural Networks Xuewei Cheng Ke Huang Shujie Ma 26 1 0 05 Nov 2024
SHAP values via sparse Fourier representation Ali Gorji Andisheh Amrollahi A. Krause FAtt 38 0 0 08 Oct 2024
Stochastic Gradient Descent for Two-layer Neural Networks Dinghao Cao Zheng-Chu Guo Lei Shi MLT 24 0 0 10 Jul 2024
Evaluating the design space of diffusion-based generative models Yuqing Wang Ye He Molei Tao DiffM 38 5 0 18 Jun 2024
Recurrent Natural Policy Gradient for POMDPs Semih Cayci A. Eryilmaz 32 0 0 28 May 2024
HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models Yifan Yang Dong Liu Shuhai Zhang Zeshuai Deng Zixiong Huang Mingkui Tan 3DH 29 8 0 07 Apr 2024
CAM-Based Methods Can See through Walls Magamed Taimeskhanov R. Sicre Damien Garreau 21 1 0 02 Apr 2024
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis Semih Cayci A. Eryilmaz 26 3 0 19 Feb 2024
LoRA Training in the NTK Regime has No Spurious Local Minima Uijeong Jang Jason D. Lee Ernest K. Ryu 44 14 0 19 Feb 2024
Convergence Analysis for Learning Orthonormal Deep Linear Neural Networks Zhen Qin Xuwei Tan Zhihui Zhu 34 0 0 24 Nov 2023
On the Convergence of Encoder-only Shallow Transformers Yongtao Wu Fanghui Liu Grigorios G. Chrysos V. Cevher 47 5 0 02 Nov 2023
An Automatic Learning Rate Schedule Algorithm for Achieving Faster Convergence and Steeper Descent Zhao Song Chiwun Yang 29 9 0 17 Oct 2023
How many Neurons do we need? A refined Analysis for Shallow Networks trained with Gradient Descent Mike Nguyen Nicole Mücke MLT 27 5 0 14 Sep 2023
Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph Neural Network? Lianke Qin Zhao Song Baocheng Sun 23 7 0 14 Sep 2023
A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time Yeqi Gao Zhao Song Weixin Wang Junze Yin 22 25 0 14 Sep 2023
Six Lectures on Linearized Neural Networks Theodor Misiakiewicz Andrea Montanari 42 12 0 25 Aug 2023
How to Protect Copyright Data in Optimization of Large Language Models? T. Chu Zhao Song Chiwun Yang 40 29 0 23 Aug 2023
Convergence of Two-Layer Regression with Nonlinear Units Yichuan Deng Zhao Song Shenghao Xie 29 7 0 16 Aug 2023
Dynamic Analysis and an Eigen Initializer for Recurrent Neural Networks Ran Dou José C. Príncipe 33 2 0 28 Jul 2023
Equitable Time-Varying Pricing Tariff Design: A Joint Learning and Optimization Approach Liudong Chen Bolun Xu 18 0 0 26 Jul 2023
Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification Lianke Qin Zhao Song Yuanyuan Yang 25 9 0 13 Jul 2023
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks Ziyi Huang H. Lam Haofeng Zhang UQCV 26 4 0 09 Jun 2023
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding Junda Wu Tong Yu Rui Wang Zhao Song Ruiyi Zhang Handong Zhao Chaochao Lu Shuai Li Ricardo Henao VLM 39 23 0 08 Jun 2023
Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis Xiangyi Chen Zhao Song Baochen Sun Junze Yin Danyang Zhuo 42 3 0 06 Jun 2023
A Scalable Walsh-Hadamard Regularizer to Overcome the Low-degree Spectral Bias of Neural Networks Ali Gorji Andisheh Amrollahi A. Krause 16 4 0 16 May 2023
Efficient Asynchronize Stochastic Gradient Algorithm with Structured Data Zhao Song Mingquan Ye 27 4 0 13 May 2023
On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains Yicheng Li Zixiong Yu Y. Cotronis Qian Lin 55 13 0 04 May 2023
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression Yeqi Gao Zhao Song Junze Yin 31 33 0 01 May 2023
Attention Scheme Inspired Softmax Regression Yichuan Deng Zhihang Li Zhao Song 44 42 0 20 Apr 2023
An Over-parameterized Exponential Regression Yeqi Gao Sridhar Mahadevan Zhao Song 16 36 0 29 Mar 2023
A Brief Survey on the Approximation Theory for Sequence Modelling Hao Jiang Qianxiao Li Zhong Li Shida Wang AI4TS 30 12 0 27 Feb 2023
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models Yufeng Zhang Boyi Liu Qi Cai Lingxiao Wang Zhaoran Wang 53 11 0 30 Dec 2022
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing Josh Alman Jiehao Liang Zhao Song Ruizhe Zhang Danyang Zhuo 77 31 0 25 Nov 2022
Linear RNNs Provably Learn Linear Dynamic Systems Lifu Wang Tianyu Wang Shengwei Yi Bo Shen Bo Hu Xing Cao 17 0 0 19 Nov 2022
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets Edo Cohen-Karlik Itamar Menuhin-Gruman Raja Giryes Nadav Cohen Amir Globerson 27 4 0 25 Oct 2022
Global Convergence of SGD On Two Layer Neural Nets Pulkit Gopalani Anirbit Mukherjee 26 5 0 20 Oct 2022
On Scrambling Phenomena for Randomly Initialized Recurrent Networks Vaggos Chatziafratis Ioannis Panageas Clayton Sanford S. Stavroulakis 30 2 0 11 Oct 2022
A Sublinear Adversarial Training Algorithm Yeqi Gao Lianke Qin Zhao Song Yitan Wang GAN 33 25 0 10 Aug 2022
Training Overparametrized Neural Networks in Sublinear Time Yichuan Deng Han Hu Zhao Song Omri Weinstein Danyang Zhuo BDL 30 28 0 09 Aug 2022
Federated Adversarial Learning: A Framework with Convergence Analysis Xiaoxiao Li Zhao Song Jiaming Yang FedML 27 19 0 07 Aug 2022
Bounding the Width of Neural Networks via Coupled Initialization -- A Worst Case Analysis Alexander Munteanu Simon Omlor Zhao Song David P. Woodruff 33 15 0 26 Jun 2022
Global Convergence of Over-parameterized Deep Equilibrium Models Zenan Ling Xingyu Xie Qiuhao Wang Zongpeng Zhang Zhouchen Lin 32 12 0 27 May 2022
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning Zixin Wen Yuanzhi Li SSL 27 34 0 12 May 2022
Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs Kelum Gajamannage Yonggi Park AI4TS AIFin 11 4 0 10 May 2022
Spectrum of inner-product kernel matrices in the polynomial regime and multiple descent phenomenon in kernel ridge regression Theodor Misiakiewicz 11 39 0 21 Apr 2022
Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks Benjamin Bowman Guido Montúfar 28 11 0 12 Jan 2022
Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time Zhao Song Licheng Zhang Ruizhe Zhang 32 64 0 14 Dec 2021
Fast Graph Neural Tangent Kernel via Kronecker Sketching Shunhua Jiang Yunze Man Zhao Song Zheng Yu Danyang Zhuo 29 6 0 04 Dec 2021