|
Oral
|
Tue 11:25
|
Metric-Optimized Example Weights
Sen Zhao · Mahdi Milani Fard · Harikrishna Narasimhan · Maya Gupta
|
|
|
Poster
|
Tue 18:30
|
Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications
Albert Gural · Boris Murmann
|
|
|
Oral
|
Tue 17:10
|
Memory-Optimal Direct Convolutions for Maximizing Classification Accuracy in Embedded Applications
Albert Gural · Boris Murmann
|
|
|
Oral
|
Wed 17:00
|
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features
Lin Yang · Mengdi Wang
|
|
|
Poster
|
Wed 18:30
|
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features
Lin Yang · Mengdi Wang
|
|
|
Poster
|
Tue 18:30
|
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm
Sepideh Mahabadi · Piotr Indyk · Shayan Oveis Gharan · Alireza Rezaei
|
|
|
Oral
|
Wed 16:25
|
Connectivity-Optimized Representation Learning via Persistent Homology
Christoph Hofer · Roland Kwitt · Marc Niethammer · Mandar Dixit
|
|
|
Poster
|
Tue 18:30
|
Metric-Optimized Example Weights
Sen Zhao · Mahdi Milani Fard · Harikrishna Narasimhan · Maya Gupta
|
|
|
Oral
|
Tue 16:00
|
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm
Sepideh Mahabadi · Piotr Indyk · Shayan Oveis Gharan · Alireza Rezaei
|
|
|
Poster
|
Wed 18:30
|
Connectivity-Optimized Representation Learning via Persistent Homology
Christoph Hofer · Roland Kwitt · Marc Niethammer · Mandar Dixit
|
|
|
Workshop
|
Fri 16:30
|
Machine Learning for AC Optimal Power Flow
Neel Guha · Zhecheng Wang
|
|
|
Poster
|
Thu 18:30
|
Adaptive Regret of Convex and Smooth Functions
Lijun Zhang · Tie-Yan Liu · Zhi-Hua Zhou
|
|
