Papers
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
Xuanqing Liu, Si Si, Xiaojin Zhu et al.
A unified theory for the origin of grid cells through the lens of pattern formation
Ben Sorscher, Gabriel Mel, Surya Ganguli et al.
A unified variance-reduced accelerated gradient method for convex optimization
Guanghui Lan, Zhize Li, Yi Zhou
A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening
Gecia Bravo Hermsdorff, Lee Gunderson
A Universally Optimal Multistage Accelerated Stochastic Gradient Method
Necdet Serhat Aybat, Alireza Fallah, Mert Gurbuzbalaban et al.
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks
Jiong Zhang, Hsiang-Fu Yu, Inderjit S Dhillon
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters
XIA XIAO, Zigeng Wang, Sanguthevar Rajasekaran
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
Mark Bun, Thomas Steinke
Average Case Column Subset Selection for Entrywise $\ell_1$-Norm Loss
Zhao Song, David Woodruff, Peilin Zhong
Average Individual Fairness: Algorithms, Generalization and Experiments
Saeed Sharifi-Malvajerdi, Michael Kearns, Aaron Roth
A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions
Mejbah Alam, Justin Gottschlich, Nesime Tatbul et al.
Backpropagation-Friendly Eigendecomposition
Wei Wang, Zheng Dang, Yinlin Hu et al.
Backprop with Approximate Activations for Memory-efficient Network Training
Ayan Chakrabarti, Benjamin Moseley
Balancing Efficiency and Fairness in On-Demand Ridesourcing
Nixie S Lesmana, Xuan Zhang, Xiaohui Bei
Bandits with Feedback Graphs and Switching Costs
Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri
Band-Limited Gaussian Processes: The Sinc Kernel
Felipe Tobar
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Andreas Kirsch, Joost van Amersfoort, Yarin Gal
Batched Multi-armed Bandits Problem
Zijun Gao, Yanjun Han, Zhimei Ren et al.
Bat-G net: Bat-inspired High-Resolution 3D Image Reconstruction using Ultrasonic Echoes
Gunpil Hwang, Seohyeon Kim, Hyeon-Min Bae
Bayesian Batch Active Learning as Sparse Subset Approximation
Robert Pinsler, Jonathan Gordon, Eric Nalisnick et al.
Bayesian Joint Estimation of Multiple Graphical Models
Lingrui Gan, Xinming Yang, Naveen Narisetty et al.
Bayesian Layers: A Module for Neural Network Uncertainty
Dustin Tran, Mike Dusenberry, Mark van der Wilk et al.
Bayesian Learning of Sum-Product Networks
Martin Trapp, Robert Peharz, Hong Ge et al.
Bayesian Optimization under Heavy-tailed Payoffs
Sayak Ray Chowdhury, Aditya Gopalan
Bayesian Optimization with Unknown Search Space
Huong Ha, Santu Rana, Sunil Gupta et al.