Papers
Elliptical Perturbations for Differential Privacy
Matthew Reimherr, Jordan Awan
Approximate Inference Turns Deep Networks into Gaussian Processes
Mohammad Emtiyaz Khan, Alexander Immer, Ehsan Abedi et al.
Piecewise Strong Convexity of Neural Networks
Tristan Milne
Average Case Column Subset Selection for Entrywise ℓ_1-Norm Loss
Zhao Song, David Woodruff, Peilin Zhong
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis
Xihui Liu, Guojun Yin, Jing Shao et al.
Identification of Conditional Causal Effects under Markov Equivalence
Amin Jaber, Jiji Zhang, Elias Bareinboim
Neural Relational Inference with Fast Modular Meta-learning
Ferran Alet, Erica Weng, Tomás Lozano-Pérez et al.
Learning GANs and Ensembles Using Discrepancy
Ben Adlam, Corinna Cortes, Mehryar Mohri et al.
Controlling Neural Level Sets
Matan Atzmon, Niv Haim, Lior Yariv et al.
Invertible Convolutional Flow
Mahdi Karami, Dale Schuurmans, Jascha Sohl-Dickstein et al.
muSSP: Efficient Min-cost Flow Algorithm for Multi-object Tracking
Congchao Wang, Yizhi Wang, Yinxue Wang et al.
Distributed estimation of the inverse Hessian by determinantal averaging
Michal Derezinski, Michael W. Mahoney
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition
David Durfee, Ryan M Rogers
Ease-of-Teaching and Language Structure from Emergent Communication
Fushan Li, Michael Bowling
Correlation Clustering with Adaptive Similarity Queries
Marco Bressan, Nicolò Cesa-Bianchi, Andrea Paudice et al.
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions
Chris Russell, Matteo Toso, Neill Campbell
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test
Lizhong Ding, Mengyang Yu, Li Liu et al.
A Fourier Perspective on Model Robustness in Computer Vision
Dong Yin, Raphael Gontijo Lopes, Jon Shlens et al.
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions
Gabriele Farina, Christian Kroer, Tuomas Sandholm
On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems
Baekjin Kim, Ambuj Tewari
Learning Transferable Graph Exploration
Hanjun Dai, Yujia Li, Chenglong Wang et al.
Emergence of Object Segmentation in Perturbed Generative Models
Adam Bielski, Paolo Favaro