The Discrete Gaussian for Differential Privacy
- Clément L. Canonne
- Gautam Kamath
- et al.
- 2020
- NeurIPS 2020
Conference paper
Publications
81 results at NeurIPS 2020
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
- Dennis Wei
- Tian Gao
- et al.
- 2020
- NeurIPS 2020
Conference paperSnapBoost: A Heterogeneous Boosting Machine
- Thomas Parnell
- Andreea Anghel
- et al.
- 2020
- NeurIPS 2020
Conference paperUncertainty-Aware Learning for Zero-Shot Semantic Segmentation
- Ping Hu
- Stan Sclaroff
- et al.
- 2020
- NeurIPS 2020
Conference paperModel Agnostic Multilevel Explanations
- Karthikeyan Natesan Ramamurthy
- Bhanukiran Vinzamuri
- et al.
- 2020
- NeurIPS 2020
Conference paperHybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function
- Quoc Tran Dinh
- Deyi Liu
- et al.
- 2020
- NeurIPS 2020
Conference paperMultilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
- Shashanka Ubaru
- Sanjeeb Dash
- et al.
- 2020
- NeurIPS 2020
Conference paperScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
- Chia-Yu Chen
- Jiamin Ni
- et al.
- 2020
- NeurIPS 2020
Conference paperUltra-Low Precision 4-bit Training of Deep Neural Networks
- Xiao Sun
- Naigang Wang
- et al.
- 2020
- NeurIPS 2020
Conference paperIterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
- Yu Chen
- Lingfei Wu
- et al.
- 2020
- NeurIPS 2020
Conference paper