Papers
4,025 papers found
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.
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions
Zeshan Hussain, Ming-Chieh Shih, Michael Oberst et al.
Fast Block Coordinate Descent for Non-Convex Group Regularizations
Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai
Fast Computation of Branching Process Transition Probabilities via ADMM
Achal Awasthi, Jason Xu
Fast Distributed k-Means with a Small Number of Rounds
Tom Hess, Ron Visbord, Sivan Sabato
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle
Dan Garber, Tsur Livney, Shoham Sabach
Fast Feature Selection with Fairness Constraints
Francesco Quinzan, Rajiv Khanna, Moshik Hershcovitch et al.
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models
Caleb Dahlke, Sue Zheng, Jason Pacheco
Feasible Recourse Plan via Diverse Interpolation
Duy Nguyen, Ngoc Bui, Viet Anh Nguyen