Papers
Information-theoretic Limits for Community Detection in Network Models
Chuyang Ke, Jean Honorio
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi, Hongseok Namkoong, Ozan Sener et al.
Modelling and unsupervised learning of symmetric deformable object categories
James Thewlis, Hakan Bilen, Andrea Vedaldi
Variational Inference with Tail-adaptive f-Divergence
Dilin Wang, Hao Liu, Qiang Liu
Exponentiated Strongly Rayleigh Distributions
Zelda E. Mariet, Suvrit Sra, Stefanie Jegelka
Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition
Kuan Han, Haiguang Wen, Yizhen Zhang et al.
Gaussian Process Prior Variational Autoencoders
Francesco Paolo Casale, Adrian Dalca, Luca Saglietti et al.
Phase Retrieval Under a Generative Prior
Paul Hand, Oscar Leong, Vlad Voroninski
Asymptotic optimality of adaptive importance sampling
François Portier, Bernard Delyon
BRUNO: A Deep Recurrent Model for Exchangeable Data
Iryna Korshunova, Jonas Degrave, Ferenc Huszar et al.
Heterogeneous Bitwidth Binarization in Convolutional Neural Networks
Joshua Fromm, Shwetak Patel, Matthai Philipose
Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation
Kush Bhatia, Aldo Pacchiano, Nicolas Flammarion et al.
Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders
Abubakar Abid, James Y Zou
Learning filter widths of spectral decompositions with wavelets
Haidar Khan, Bulent Yener
A Bridging Framework for Model Optimization and Deep Propagation
Risheng Liu, Shichao Cheng, xiaokun liu et al.
Uplift Modeling from Separate Labels
Ikko Yamane, Florian Yger, Jamal Atif et al.
Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks
Grant Rotskoff, Eric Vanden-Eijnden
The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network
Jeffrey Pennington, Pratik Worah
Statistical and Computational Trade-Offs in Kernel K-Means
Daniele Calandriello, Lorenzo Rosasco
Gradient Descent for Spiking Neural Networks
Dongsung Huh, Terrence J. Sejnowski
Alternating optimization of decision trees, with application to learning sparse oblique trees
Miguel A. Carreira-Perpinan, Pooya Tavallali
Structure-Aware Convolutional Neural Networks
Jianlong Chang, Jie Gu, Lingfeng Wang et al.
Amortized Inference Regularization
Rui Shu, Hung H Bui, Shengjia Zhao et al.
PAC-Bayes Tree: weighted subtrees with guarantees
Tin D Nguyen, Samory Kpotufe
Neural Code Comprehension: A Learnable Representation of Code Semantics
Tal Ben-Nun, Alice Shoshana Jakobovits, Torsten Hoefler