Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization

26 January 2021

Papers citing "Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization"

11 / 11 papers shown

Title
Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Samuele Bortolotti Emanuele Marconato Paolo Morettin Andrea Passerini Stefano Teso 61 2 0 16 Feb 2025
Deciphering Hate: Identifying Hateful Memes and Their Targets E. Hossain Omar Sharif M. M. Hoque S. Preum 52 4 0 16 Mar 2024
Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN) Ayman Ali Ekkasit Pinyoanuntapong Pu Wang Mohsen Dorodchi 3DH 20 10 0 31 Jan 2023
SSM-Net: feature learning for Music Structure Analysis using a Self-Similarity-Matrix based loss Geoffroy Peeters Florian Angulo 11 1 0 15 Nov 2022
Grad-GradaGrad? A Non-Monotone Adaptive Stochastic Gradient Method Aaron Defazio Baoyu Zhou Lin Xiao ODL 24 5 0 14 Jun 2022
Wasserstein Adversarial Transformer for Cloud Workload Prediction Shivani Arbat V. Jayakumar Jaewoo Lee Wei Wang I. Kim AI4TS 19 22 0 12 Mar 2022
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions Jennifer J. Sun Tomomi Karigo Dipam Chakraborty Sharada Mohanty Benjamin Wild ... Chen Chen D. Anderson Pietro Perona Yisong Yue Ann Kennedy 32 47 0 06 Apr 2021
Dual Averaging is Surprisingly Effective for Deep Learning Optimization Samy Jelassi Aaron Defazio 28 4 0 20 Oct 2020
Incremental Without Replacement Sampling in Nonconvex Optimization Edouard Pauwels 38 5 0 15 Jul 2020
A Simple Convergence Proof of Adam and Adagrad Alexandre Défossez Léon Bottou Francis R. Bach Nicolas Usunier 56 143 0 05 Mar 2020
Sequential Training of Neural Networks with Gradient Boosting S. Emami Gonzalo Martýnez-Muñoz ODL 21 19 0 26 Sep 2019