firstbacksecondback
13 Results
|
Workshop
|
Scale-conditioned Adaptation for Large Scale Combinatorial Optimization Minsu Kim · Jiwoo SON · Hyeonah Kim · Jinkyoo Park |
||
|
Workshop
|
TiAda: A Time-scale Adaptive Algorithm For Nonconvex Minimax Optimization Xiang Li · Junchi YANG · Niao He |
||
|
Workshop
|
TiAda: A Time-scale Adaptive Algorithm For Nonconvex Minimax Optimization Xiang Li · Junchi YANG · Niao He |
||
|
Workshop
|
Network Pruning at Scale: A Discrete Optimization Approach Wenyu Chen · Riade Benbaki · Xiang Meng · Rahul Mazumder |
||
|
Poster
|
Thu 9:00 |
Optimal Scaling for Locally Balanced Proposals in Discrete Spaces Haoran Sun · Hanjun Dai · Dale Schuurmans |
|
|
Poster
|
Thu 9:00 |
Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion Jialun Zhang · Hong-Ming Chiu · Richard Y Zhang |
|
|
Poster
|
Wed 14:00 |
Global Optimal K-Medoids Clustering of One Million Samples Jiayang Ren · Kaixun Hua · Yankai Cao |
|
|
Workshop
|
DRL-EPANET: Deep reinforcement learning for optimal control at scale in Water Distribution Systems Anas Belfadil · David Modesto · Jose Martin H. |
||
|
Poster
|
Thu 14:00 |
Scale-invariant Learning by Physics Inversion Philipp Holl · Vladlen Koltun · Nils Thuerey |
|
|
Expo Workshop
|
Wed 9:30 |
PyTorch: New advances for large-scale training and performance optimizations Geeta Chauhan · Rohan Varma · Ke Wen · Taylor Robie · Andrew Gu · Anupam Bhatnagar · Bin Bao · Natalia Gimelshein · Animesh Jain · Sherlock Huang |
|
|
Expo Workshop
|
Mon 7:30 |
PyTorch: New advances for large-scale training and performance optimizations Geeta Chauhan · Rohan Varma · Ke Wen · Taylor Robie · Andrew Gu · Anupam Bhatnagar · Bin Bao · Natalia Gimelshein · Animesh Jain · Sherlock Huang |
|
|
Poster
|
Wed 14:00 |
DNA: Proximal Policy Optimization with a Dual Network Architecture Matthew Aitchison · Penny Sweetser |