Papers
Continuous-time Models for Stochastic Optimization Algorithms
Antonio Orvieto, Aurelien Lucchi
Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes
Siqi Liu, Milos Hauskrecht
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
Koen Helwegen, James Widdicombe, Lukas Geiger et al.
Input-Output Equivalence of Unitary and Contractive RNNs
Melikasadat Emami, Mojtaba Sahraee Ardakan, Sundeep Rangan et al.
Variational Structured Semantic Inference for Diverse Image Captioning
Fuhai Chen, Rongrong Ji, Jiayi Ji et al.
Bridging Machine Learning and Logical Reasoning by Abductive Learning
Wang-Zhou Dai, Qiuling Xu, Yang Yu et al.
Multiway clustering via tensor block models
Miaoyan Wang, Yuchen Zeng
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling
Lars Maaløe, Marco Fraccaro, Valentin Liévin et al.
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks
Jiong Zhang, Hsiang-Fu Yu, Inderjit S Dhillon
Exact Rate-Distortion in Autoencoders via Echo Noise
Rob Brekelmans, Daniel Moyer, Aram Galstyan et al.
Regret Bounds for Learning State Representations in Reinforcement Learning
Ronald Ortner, Matteo Pirotta, Alessandro Lazaric et al.
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking
Sumeet Katariya, Ardhendu Tripathy, Robert Nowak
A Graph Theoretic Additive Approximation of Optimal Transport
Nathaniel Lahn, Deepika Mulchandani, Sharath Raghvendra
A Condition Number for Joint Optimization of Cycle-Consistent Networks
Leonidas Guibas, Qixing Huang, Zhenxiao Liang
Importance Resampling for Off-policy Prediction
Matthew Schlegel, Wesley Chung, Daniel Graves et al.
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection
Pan Li, I Chien, Olgica Milenkovic
Limits of Private Learning with Access to Public Data
Noga Alon, Raef Bassily, Shay Moran
A neurally plausible model for online recognition and postdiction in a dynamical environment
Li Kevin Wenliang, Maneesh Sahani
Recovering Bandits
Ciara Pike-Burke, Steffen Grunewalder
Thresholding Bandit with Optimal Aggregate Regret
Chao Tao, Saúl Blanco, Jian Peng et al.
Cross-Domain Transferability of Adversarial Perturbations
Muhammad Muzammal Naseer, Salman H Khan, Muhammad Haris Khan et al.
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks
Cagatay Yildiz, Markus Heinonen, Harri Lahdesmaki
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar et al.
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
Jonathan Sauder, Bjarne Sievers
The Point Where Reality Meets Fantasy: Mixed Adversarial Generators for Image Splice Detection
Vladimir V. Kniaz, Vladimir Knyaz, Fabio Remondino