Distributed, Parallel, and Cluster Computing · Computer Science
A New Fuzzy Approach for Dynamic Load Balancing Algorithm
Abbas Karimi, Faraneh Zarafshan, Adznan. b. Jantan, A. R Ramli +1
2009-10-05
Artificial Intelligence · Computer Science
Geometric Deep Reinforcement Learning for Dynamic DAG Scheduling
Nathan Grinsztajn, Olivier Beaumont, Emmanuel Jeannot, Philippe Preux
2020-11-10
Robotics · Computer Science
Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles
Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha Srinivasa
2019-07-24
Optimization and Control · Mathematics
Speeding up VSLMS adaptation algorithms using dynamic adaptation gain: Analysis and Applications
Ioan Doré Landau, Dariusz Bismor, Tudor-Bogdan Airimitoaie, Bernard Vau +1
2024-04-22
Machine Learning · Computer Science
$\psi$DAG: Projected Stochastic Approximation Iteration for DAG Structure Learning
Klea Ziu, Slavomír Hanzely, Loka Li, Kun Zhang +2
2024-11-01
Machine Learning · Computer Science
Gradient-Based Neural DAG Learning
Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu, Simon Lacoste-Julien
2020-02-19
Machine Learning · Computer Science
Learning Mixtures of DAG Models
Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman
2015-05-19
Robotics · Computer Science
Lazy-DaSH: Lazy Approach for Hypergraph-based Multi-robot Task and Motion Planning
Seongwon Lee, James Motes, Isaac Ngui, Marco Morales +1
2025-10-28
Machine Learning · Computer Science
Adversarial Robustness Overestimation and Instability in TRADES
Jonathan Weiping Li, Ren-Wei Liang, Cheng-Han Yeh, Cheng-Chang Tsai +3
2024-10-11
Machine Learning · Statistics
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen, Georgios B. Giannakis, Tao Sun, Wotao Yin
2018-05-31
Machine Learning · Statistics
Concomitant DAG Learning: On the Roles of Noise Adaptivity, Sparsity, and Non-negativity
Gonzalo Mateos, Samuel Rey, Hamed Ajorlou, Mariano Tepper
2026-05-25
Distributed, Parallel, and Cluster Computing · Computer Science
Towards scalable pattern-based optimization for dense linear algebra
Dániel Berényi, András Leitereg, Gábor Lehel
2019-03-22
Machine Learning · Statistics
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Xun Zheng, Bryon Aragam, Pradeep Ravikumar, Eric P. Xing
2018-11-06
Distributed, Parallel, and Cluster Computing · Computer Science
Longer Is Shorter: Making Long Paths to Improve the Worst-Case Response Time of DAG Tasks
Qingqiang He, Nan Guan, Mingsong Lv
2023-07-26
Graphics · Computer Science
Anisotropic Gauss Reconstruction for Unoriented Point Clouds
Yueji Ma, Dong Xiao, Zuoqiang Shi, Bin Wang
2024-05-28
Machine Learning · Statistics
On the Sparse DAG Structure Learning Based on Adaptive Lasso
Danru Xu, Erdun Gao, Wei Huang, Menghan Wang +2
2023-02-20