Papers
Hyper-Graph-Network Decoders for Block Codes
Eliya Nachmani, Lior Wolf
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network
Jennifer Cardona, Michael Howland, John Dabiri
Acceleration via Symplectic Discretization of High-Resolution Differential Equations
Bin Shi, Simon S Du, Weijie Su et al.
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise
Thanh Huy Nguyen, Umut Simsekli, Mert Gurbuzbalaban et al.
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
Yusuke Tanaka, Toshiyuki Tanaka, Tomoharu Iwata et al.
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data
Amanda Gentzel, Dan Garant, David Jensen
Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities
Wei Qian, Yuqian Zhang, Yudong Chen
Multi-objective Bayesian optimisation with preferences over objectives
Majid Abdolshah, Alistair Shilton, Santu Rana et al.
Neural Similarity Learning
Weiyang Liu, Zhen Liu, James M. Rehg et al.
On the Accuracy of Influence Functions for Measuring Group Effects
Pang Wei W Koh, Kai-Siang Ang, Hubert Teo et al.
Foundations of Comparison-Based Hierarchical Clustering
Debarghya Ghoshdastidar, Michaël Perrot, Ulrike von Luxburg
Manifold denoising by Nonlinear Robust Principal Component Analysis
He Lyu, Ningyu Sha, Shuyang Qin et al.
On the (In)fidelity and Sensitivity of Explanations
Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Suggala et al.
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model
Andrea Zanette, Mykel J Kochenderfer, Emma Brunskill
Generalization Bounds in the Predict-then-Optimize Framework
Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas et al.
Training Language GANs from Scratch
Cyprien de Masson d'Autume, Shakir Mohamed, Mihaela Rosca et al.
Geometry-Aware Neural Rendering
Joshua Tobin, Wojciech Zaremba, Pieter Abbeel
Stochastic Bandits with Context Distributions
Johannes Kirschner, Andreas Krause
Variational Graph Recurrent Neural Networks
Ehsan Hajiramezanali, Arman Hasanzadeh, Krishna Narayanan et al.
An adaptive nearest neighbor rule for classification
Akshay Balsubramani, Sanjoy Dasgupta, yoav Freund et al.
A Stochastic Composite Gradient Method with Incremental Variance Reduction
Junyu Zhang, Lin Xiao
Region Mutual Information Loss for Semantic Segmentation
Shuai Zhao, Yang Wang, Zheng Yang et al.
Trust Region-Guided Proximal Policy Optimization
Yuhui Wang, Hao He, Xiaoyang Tan et al.
Combining Generative and Discriminative Models for Hybrid Inference
Victor Garcia Satorras, Zeynep Akata, Max Welling
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders
Zhibing Zhao, Lirong Xia