Papers
The Impact of Regularization on High-dimensional Logistic Regression
Fariborz Salehi, Ehsan Abbasi, Babak Hassibi
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator
Karl Krauth, Stephen Tu, Benjamin Recht
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
Zhihui Zhu, Tianyu Ding, Daniel Robinson et al.
Coordinated hippocampal-entorhinal replay as structural inference
Talfan Evans, Neil Burgess
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
Shanshan Wu, Sujay Sanghavi, Alexandros G Dimakis
Sliced Gromov-Wasserstein
Vayer Titouan, Rémi Flamary, Nicolas Courty et al.
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.