A unified convergence analysis for shuffling-type gradient methods
- Lam Nguyen
- Quoc Tran-Dinh
- et al.
- 2021
- JMLR
Publications
1505 results for Machine Learning
Temporal Tensor Transformation Network for Multivariate Time Series Prediction
- Yuya Jeremy Ong
- Mu Qiao
- et al.
- 2020
- Big Data 2020
PAIRS AutoGeo: An Automated Machine Learning Framework for Massive Geospatial Data
- Wang Zhou
- Levente J. Klein
- et al.
- 2020
- Big Data 2020
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
- Amin Jaber
- Murat Kocaoglu
- et al.
- 2020
- NeurIPS 2020
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning
- Han Cai
- Chuang Gan
- et al.
- 2020
- NeurIPS 2020
MCUNet: Tiny Deep Learning on IoT Devices
- Ji Lin
- Wei-Ming Chen
- et al.
- 2020
- NeurIPS 2020
SnapBoost: A Heterogeneous Boosting Machine
- Thomas Parnell
- Andreea Anghel
- et al.
- 2020
- NeurIPS 2020
Applications of Common Entropy for Causal Inference
- Murat Kocaoglu
- Sanjay Shakkottai
- et al.
- 2020
- NeurIPS 2020
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
- Vijil Chenthamarakshan
- Payel Das
- et al.
- 2020
- NeurIPS 2020
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
- Yonggan Fu
- Haoran You
- et al.
- 2020
- NeurIPS 2020