Papers
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms
Mahesh Chandra Mukkamala, Peter Ochs
RSN: Randomized Subspace Newton
Robert Gower, Dmitry Kovalev, Felix Lieder et al.
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber et al.
Attribution-Based Confidence Metric For Deep Neural Networks
Susmit Jha, Sunny Raj, Steven Fernandes et al.
Variance Reduction in Bipartite Experiments through Correlation Clustering
Jean Pouget-Abadie, Kevin Aydin, Warren Schudy et al.
Volumetric Correspondence Networks for Optical Flow
Gengshan Yang, Deva Ramanan
Learning Conditional Deformable Templates with Convolutional Networks
Adrian Dalca, Marianne Rakic, John Guttag et al.
Paradoxes in Fair Machine Learning
Paul Goelz, Anson Kahng, Ariel D Procaccia
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks
Aya Abdelsalam Ismail, Mohamed Gunady, Luiz Pessoa et al.
Explanations can be manipulated and geometry is to blame
Ann-Kathrin Dombrowski, Maximillian Alber, Christopher Anders et al.
Kernel Stein Tests for Multiple Model Comparison
Jen Ning Lim, Makoto Yamada, Bernhard Schölkopf et al.
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning
Wenjie Shi, Shiji Song, Hui Wu et al.
Provably Powerful Graph Networks
Haggai Maron, Heli Ben-Hamu, Hadar Serviansky et al.
Minimum Stein Discrepancy Estimators
Alessandro Barp, Francois-Xavier Briol, Andrew Duncan et al.
Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels
Michela Meister, Tamas Sarlos, David Woodruff
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri et al.
Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization
Yujiao Shi, Liu Liu, Xin Yu et al.
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S Cohen, Mario Geiger, Maurice Weiler
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs
Marek Petrik, Reazul Hasan Russel
Machine Teaching of Active Sequential Learners
Tomi Peltola, Mustafa Mert Çelikok, Pedram Daee et al.
On the Value of Target Data in Transfer Learning
Steve Hanneke, Samory Kpotufe
Landmark Ordinal Embedding
Nikhil Ghosh, Yuxin Chen, Yisong Yue
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points
Siyuan Huang, Yixin Chen, Tao Yuan et al.
Expressive power of tensor-network factorizations for probabilistic modeling
Ivan Glasser, Ryan Sweke, Nicola Pancotti et al.