Papers
Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be
Valerio Biscione, Jeffrey S. Bowers
Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms
Jianyu Wang, Gauri Joshi
Counterfactual Mean Embeddings
Krikamol Muandet, Motonobu Kanagawa, Sorawit Saengkyongam et al.
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
Hubert Baniecki, Wojciech Kretowicz, Piotr Piątyszek et al.
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo
Mert Gürbüzbalaban, Xuefeng Gao, Yuanhan Hu et al.
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate
Haishan Ye, Tong Zhang
Determining the Number of Communities in Degree-corrected Stochastic Block Models
Shujie Ma, Liangjun Su, Yichong Zhang
Differentially Private Regression and Classification with Sparse Gaussian Processes
Michael Thomas Smith, Mauricio A. Alvarez, Neil D. Lawrence
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
Meng Liu, Youzhi Luo, Limei Wang et al.
Domain adaptation under structural causal models
Yuansi Chen, Peter Bühlmann
Domain Generalization by Marginal Transfer Learning
Gilles Blanchard, Aniket Anand Deshmukh, Urun Dogan et al.
Double Generative Adversarial Networks for Conditional Independence Testing
Chengchun Shi, Tianlin Xu, Wicher Bergsma et al.
Doubly infinite residual neural networks: a diffusion process approach
Stefano Peluchetti, Stefano Favaro
Dynamic Tensor Recommender Systems
Yanqing Zhang, Xuan Bi, Niansheng Tang et al.
Empirical Bayes Matrix Factorization
Wei Wang, Matthew Stephens
Entangled Kernels - Beyond Separability
Riikka Huusari, Hachem Kadri
Estimating the Lasso's Effective Noise
Johannes Lederer, Michael Vogt
Estimating Uncertainty Intervals from Collaborating Networks
Tianhui Zhou, Yitong Li, Yuan Wu et al.
Estimation and Optimization of Composite Outcomes
Daniel J. Luckett, Eric B. Laber, Siyeon Kim et al.
Exact Asymptotics for Linear Quadratic Adaptive Control
Feicheng Wang, Lucas Janson
Expanding Boundaries of Gap Safe Screening
Cassio F. Dantas, Emmanuel Soubies, Cédric Févotte
Explaining by Removing: A Unified Framework for Model Explanation
Ian Covert, Scott Lundberg, Su-In Lee
Explaining Explanations: Axiomatic Feature Interactions for Deep Networks
Joseph D. Janizek, Pascal Sturmfels, Su-In Lee