Papers
Probabilistic Neural Programmed Networks for Scene Generation
Zhiwei Deng, Jiacheng Chen, YIFANG FU et al.
Query K-means Clustering and the Double Dixie Cup Problem
I Chien, Chao Pan, Olgica Milenkovic
One-Shot Unsupervised Cross Domain Translation
Sagie Benaim, Lior Wolf
A General Method for Amortizing Variational Filtering
Joseph Marino, Milan Cvitkovic, Yisong Yue
Leveraging the Exact Likelihood of Deep Latent Variable Models
Pierre-Alexandre Mattei, Jes Frellsen
COLA: Decentralized Linear Learning
Lie He, An Bian, Martin Jaggi
Generalization Bounds for Uniformly Stable Algorithms
Vitaly Feldman, Jan Vondrak
Data center cooling using model-predictive control
Nevena Lazic, Craig Boutilier, Tyler Lu et al.
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification
Harsh Shrivastava, Eugene Bart, Bob Price et al.
Learning sparse neural networks via sensitivity-driven regularization
Enzo Tartaglione, Skjalg Lepsøy, Attilio Fiandrotti et al.
Critical initialisation for deep signal propagation in noisy rectifier neural networks
Arnu Pretorius, Elan van Biljon, Steve Kroon et al.
Unsupervised Adversarial Invariance
Ayush Jaiswal, Rex Yue Wu, Wael Abd-Almageed et al.
Objective and efficient inference for couplings in neuronal networks
Yu Terada, Tomoyuki Obuchi, Takuya Isomura et al.
How Many Samples are Needed to Estimate a Convolutional Neural Network?
Simon S Du, Yining Wang, Xiyu Zhai et al.
ResNet with one-neuron hidden layers is a Universal Approximator
Hongzhou Lin, Stefanie Jegelka
Learning SMaLL Predictors
Vikas Garg, Ofer Dekel, Lin Xiao
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
Kry Lui, Gavin Weiguang Ding, Ruitong Huang et al.
A Spectral View of Adversarially Robust Features
Shivam Garg, Vatsal Sharan, Brian Zhang et al.
Streamlining Variational Inference for Constraint Satisfaction Problems
Aditya Grover, Tudor Achim, Stefano Ermon
Identification and Estimation of Causal Effects from Dependent Data
Eli Sherman, Ilya Shpitser
Adaptive Sampling Towards Fast Graph Representation Learning
Wenbing Huang, Tong Zhang, Yu Rong et al.
Contextual bandits with surrogate losses: Margin bounds and efficient algorithms
Dylan J Foster, Akshay Krishnamurthy
Contour location via entropy reduction leveraging multiple information sources
Alexandre Marques, Remi Lam, Karen Willcox
KDGAN: Knowledge Distillation with Generative Adversarial Networks
Xiaojie Wang, Rui Zhang, Yu Sun et al.