Papers
Dueling RL: Reinforcement Learning with Trajectory Preferences
Aadirupa Saha, Aldo Pacchiano, Jonathan Lee
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model
Yirui Liu, Xinghao Qiao, Liying Wang et al.
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
Chen Dun, Mirian Hipolito, Chris Jermaine et al.
Efficient fair PCA for fair representation learning
Matthäus Kleindessner, Michele Donini, Chris Russell et al.
Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation
Yue Xiang, Dongyao Zhu, Bowen Lei et al.
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection
Weilin Cong, Mehrdad Mahdavi
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning
Volodymyr Tkachuk, Seyed Alireza Bakhtiari, Johannes Kirschner et al.
Efficient SAGE Estimation via Causal Structure Learning
Christoph Luther, Gunnar König, Moritz Grosse-Wentrup
EGG-GAE: scalable graph neural networks for tabular data imputation
Lev Telyatnikov, Simone Scardapane
Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity
Arber Qoku, Florian Buettner
Energy-Based Models for Functional Data using Path Measure Tilting
Jen Ning Lim, Sebastian Vollmer, Lorenz Wolf et al.
Entropic Risk Optimization in Discounted MDPs
Jia Lin Hau, Marek Petrik, Mohammad Ghavamzadeh
Equivariant Representation Learning via Class-Pose Decomposition
Giovanni Luca Marchetti, Gustaf Tegnér, Anastasiia Varava et al.
Error Estimation for Random Fourier Features
Junwen Yao, N. Benjamin Erichson, Miles E. Lopes
Estimating Conditional Average Treatment Effects with Missing Treatment Information
Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel
Estimating Total Correlation with Mutual Information Estimators
Ke Bai, Pengyu Cheng, Weituo Hao et al.
Exact Gradient Computation for Spiking Neural Networks via Forward Propagation
Jane H. Lee, Saeid Haghighatshoar, Amin Karbasi
Explicit Regularization in Overparametrized Models via Noise Injection
Antonio Orvieto, Anant Raj, Hans Kersting et al.
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference
Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury et al.
Exploration in Reward Machines with Low Regret
Hippolyte Bourel, Anders Jonsson, Odalric-Ambrym Maillard et al.
Factorial SDE for Multi-Output Gaussian Process Regression
Daniel P. Jeong, Seyoung Kim
FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery
Xinyi Xu, Zhaoxuan Wu, Arun Verma et al.
Fair learning with Wasserstein barycenters for non-decomposable performance measures
Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen
Fair Representation Learning with Unreliable Labels
Yixuan Zhang, Feng Zhou, Zhidong Li et al.
Faithful Heteroscedastic Regression with Neural Networks
Andrew Stirn, Harm Wessels, Megan Schertzer et al.