Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes
- Zaiwei Chen
- Siva Theja Maguluri
- et al.
- 2020
- NeurIPS 2020
Conference paper
Publications
1629 results for Machine Learning
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
- Yu Chen
- Lingfei Wu
- et al.
- 2020
- NeurIPS 2020
Conference paperThe Lottery Ticket Hypothesis for Pre-trained BERT Networks
- Tianlong Chen
- Jonathan Frankle
- et al.
- 2020
- NeurIPS 2020
Conference paperLog-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
- Ben Usman
- Avneesh Sud
- et al.
- 2020
- NeurIPS 2020
Conference paperCausal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
- Amin Jaber
- Murat Kocaoglu
- et al.
- 2020
- NeurIPS 2020
Conference paperHigher-Order Certification For Randomized Smoothing
- Jeet Mohapatra; Ching-Yun Ko
- Tsui-Wei Weng
- et al.
- 2020
- NeurIPS 2020
Conference paperDecentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
- Gang Wang
- Songtao Lu
- 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 paperInductive Quantum Embedding
- Santosh Kumar Srivastava
- Dinesh Khandelwal
- et al.
- 2020
- NeurIPS 2020
Conference paperMCUNet: Tiny Deep Learning on IoT Devices
- Ji Lin
- Wei-Ming Chen
- et al.
- 2020
- NeurIPS 2020
Conference paper