Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
- Trang H. Tran
- Katya Scheinberg
- et al.
- 2022
- ICML 2022
Conference paper
Publications
34 results at ICML 2022
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
- Haochuan Li
- Farzan Farnia
- et al.
- 2022
- ICML 2022
Conference paperGeneralization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
- Hongkang Li
- Meng Wang
- et al.
- 2022
- ICML 2022
Conference paperBeyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
- Jingzhao Zhang
- Hongzhou Lin
- et al.
- 2022
- ICML 2022
PosterTowards Understanding Convergence of Simultaneous Gradient Descent-Ascent in Minimax Optimization
- Haochuan Li
- Farzan Farnia
- et al.
- 2022
- ICML 2022
PosterPrompting Decision Transformer for Few-Shot Policy Generalization
- Mengdi Xu
- Yikang Shen
- et al.
- 2022
- ICML 2022
PosterEntropic Causal Inference: Graph Identifiabilty
- Spencer Compton
- Kristjan Greenewald
- et al.
- 2022
- ICML 2022
PosterBiological Sequence Design with GFlowNets
- Moksh Jain
- Payel Das
- et al.
- 2022
- ICML 2022
Demo paperChallenges and Pitfalls of Bayesian Unlearning
- Ambrish Rawat
- James Requeima
- et al.
- 2022
- ICML 2022
Workshop paperFederated Unlearning: How to Efficiently Erase a Client in FL?
- 2022
- ICML 2022
Workshop paper