Papers
A New Perspective on the Effects of Spectrum in Graph Neural Networks
Mingqi Yang, Yanming Shen, Rui Li et al.
A new similarity measure for covariate shift with applications to nonparametric regression
Reese Pathak, Cong Ma, Martin Wainwright
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming
Jihwan Jeong, Parth Jaggi, Andrew Butler et al.
An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn
Emmanuel Abbe, Elisabetta Cornacchia, Jan Hazla et al.
An Intriguing Property of Geophysics Inversion
Yinan Feng, Yinpeng Chen, Shihang Feng et al.
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
Guillaume Braun, Hemant Tyagi, Christophe Biernacki
Antibody-Antigen Docking and Design via Hierarchical Structure Refinement
Wengong Jin, Dr.Regina Barzilay, Tommi Jaakkola
Anticorrelated Noise Injection for Improved Generalization
Antonio Orvieto, Hans Kersting, Frank Proske et al.
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology
Brandon Trabucco, Mariano Phielipp, Glen Berseth
Anytime Information Cascade Popularity Prediction via Self-Exciting Processes
Xi Zhang, Akshay Aravamudan, Georgios C Anagnostopoulos
A Parametric Class of Approximate Gradient Updates for Policy Optimization
Ramki Gummadi, Saurabh Kumar, Junfeng Wen et al.
Approximate Bayesian Computation with Domain Expert in the Loop
Ayush Bharti, Louis Filstroff, Samuel Kaski
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
Baojian Zhou, Yifan Sun
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
Rui Wang, Robin Walters, Rose Yu
A Psychological Theory of Explainability
Scott Cheng-Hsin Yang, Nils Erik Tomas Folke, Patrick Shafto
A query-optimal algorithm for finding counterfactuals
Guy Blanc, Caleb Koch, Jane Lange et al.
A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources
Hugo Lebeau, Romain Couillet, Florent Chatelain
Architecture Agnostic Federated Learning for Neural Networks
Disha Makhija, Xing Han, Nhat Ho et al.
A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds
Jiahao He, Jiheng Zhang, Rachel Q. Zhang
A Regret Minimization Approach to Multi-Agent Control
Udaya Ghai, Udari Madhushani, Naomi Leonard et al.
A Resilient Distributed Boosting Algorithm
Yuval Filmus, Idan Mehalel, Shay Moran
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions
Daniel D Lundstrom, Tianjian Huang, Meisam Razaviyayn
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD
Karl Bäckström, Marina Papatriantafilou, Philippas Tsigas
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
Wei Xiong, Han Zhong, Chengshuai Shi et al.
A Simple Guard for Learned Optimizers
Isabeau Prémont-Schwarz, Jaroslav Vı́tků, Jan Feyereisl