Papers
Mean-field theory of graph neural networks in graph partitioning
Tatsuro Kawamoto, Masashi Tsubaki, Tomoyuki Obuchi
Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri et al.
Manifold Structured Prediction
Alessandro Rudi, Carlo Ciliberto, GianMaria Marconi et al.
Learning convex bounds for linear quadratic control policy synthesis
Jack Umenberger, Thomas B Schön
PointCNN: Convolution On X-Transformed Points
Yangyan Li, Rui Bu, Mingchao Sun et al.
Robust Subspace Approximation in a Stream
Roie Levin, Anish Prasad Sevekari, David Woodruff
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces
Liheng Zhang, Marzieh Edraki, Guo-Jun Qi
Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task
Dalin Guo, Angela J. Yu
LF-Net: Learning Local Features from Images
Yuki Ono, Eduard Trulls, Pascal Fua et al.
Adaptive Negative Curvature Descent with Applications in Non-convex Optimization
Mingrui Liu, Zhe Li, Xiaoyu Wang et al.
Context-dependent upper-confidence bounds for directed exploration
Raksha Kumaraswamy, Matthew Schlegel, Adam White et al.
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
Chen Liang, Mohammad Norouzi, Jonathan Berant et al.
Communication Efficient Parallel Algorithms for Optimization on Manifolds
Bayan Saparbayeva, Michael Zhang, Lizhen Lin
Incorporating Context into Language Encoding Models for fMRI
Shailee Jain, Alexander Huth
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly et al.
Proximal SCOPE for Distributed Sparse Learning
Shenyi Zhao, Gong-Duo Zhang, Ming-Wei Li et al.
BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training
Songtao Wang, Dan Li, Yang Cheng et al.
An Information-Theoretic Analysis for Thompson Sampling with Many Actions
Shi Dong, Benjamin Van Roy
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Kirthevasan Kandasamy, Willie Neiswanger, Jeff Schneider et al.
Optimization over Continuous and Multi-dimensional Decisions with Observational Data
Dimitris Bertsimas, Christopher McCord
Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting
Hippolyt Ritter, Aleksandar Botev, David Barber
Fast and Effective Robustness Certification
Gagandeep Singh, Timon Gehr, Matthew Mirman et al.
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
Zehong Hu, Yitao Liang, Jie Zhang et al.
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Zhilu Zhang, Mert Sabuncu
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
Geneviève Robin, Hoi-To Wai, Julie Josse et al.