firstbacksecondback
129 Results
|
Poster
|
Tue 9:00 |
Pluralistic Image Completion with Gaussian Mixture Models Xiaobo Xia · Wenhao Yang · Jie Ren · Yewen Li · Yibing Zhan · Bo Han · Tongliang Liu |
|
|
Poster
|
Wed 9:00 |
Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation Piyush Raikwar · Deepak Mishra |
|
|
Poster
|
Tue 14:00 |
Robust Model Selection and Nearly-Proper Learning for GMMs Allen Liu · Jerry Li · Ankur Moitra |
|
|
Poster
|
Tue 14:00 |
Information-Theoretic Safe Exploration with Gaussian Processes Alessandro Bottero · Carlos Luis · Julia Vinogradska · Felix Berkenkamp · Jan Peters |
|
|
Poster
|
GAR: Generalized Autoregression for Multi-Fidelity Fusion Yuxin Wang · Zheng Xing · WEI XING |
||
|
Poster
|
Tue 9:00 |
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning Tanguy Marchand · Boris Muzellec · Constance Béguier · Jean Ogier du Terrail · Mathieu Andreux |
|
|
Poster
|
Tue 9:00 |
Triangulation candidates for Bayesian optimization Robert Gramacy · Annie Sauer · Nathan Wycoff |
|
|
Poster
|
Tue 9:00 |
Fast Instrument Learning with Faster Rates Ziyu Wang · Yuhao Zhou · Jun Zhu |
|
|
Poster
|
Wed 9:00 |
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints Justin Whitehouse · Aaditya Ramdas · Steven Wu · Ryan Rogers |
|
|
Poster
|
Wed 14:00 |
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks Rodrigo Veiga · Ludovic Stephan · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová |
|
|
Poster
|
Thu 14:00 |
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Leonard Papenmeier · Luigi Nardi · Matthias Poloczek |
|
|
Poster
|
Wed 14:00 |
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine Ilker Demirel · Ahmet Alparslan Celik · Cem Tekin |