Papers
EL-Attention: Memory Efficient Lossless Attention for Generation
Yu Yan, Jiusheng Chen, Weizhen Qi et al.
Elementary superexpressive activations
Dmitry Yarotsky
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour, Dale Schuurmans, Shixiang Shane Gu
Emergent Social Learning via Multi-agent Reinforcement Learning
Kamal K Ndousse, Douglas Eck, Sergey Levine et al.
Emphatic Algorithms for Deep Reinforcement Learning
Ray Jiang, Tom Zahavy, Zhongwen Xu et al.
End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series
Syama Sundar Rangapuram, Lucien D Werner, Konstantinos Benidis et al.
E(n) Equivariant Graph Neural Networks
Vı́ctor Garcia Satorras, Emiel Hoogeboom, Max Welling
Enhancing Robustness of Neural Networks through Fourier Stabilization
Netanel Raviv, Aidan Kelley, Minzhe Guo et al.
Ensemble Bootstrapping for Q-Learning
Oren Peer, Chen Tessler, Nadav Merlis et al.
Environment Inference for Invariant Learning
Elliot Creager, Joern-Henrik Jacobsen, Richard Zemel
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes
Peter Holderrieth, Michael J Hutchinson, Yee Whye Teh
Equivariant message passing for the prediction of tensorial properties and molecular spectra
Kristof Schütt, Oliver Unke, Michael Gastegger
Equivariant Networks for Pixelized Spheres
Mehran Shakerinava, Siamak Ravanbakhsh
Estimating $α$-Rank from A Few Entries with Low Rank Matrix Completion
Yali Du, Xue Yan, Xu Chen et al.
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning
Yonghan Jung, Jin Tian, Elias Bareinboim
Estimation and Quantization of Expected Persistence Diagrams
Vincent Divol, Theo Lacombe
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
Anna-Kathrin Kopetzki, Bertrand Charpentier, Daniel Zügner et al.
Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo
James Brofos, Roy R Lederman
Event Outlier Detection in Continuous Time
Siqi Liu, Milos Hauskrecht
Evolving Attention with Residual Convolutions
Yujing Wang, Yaming Yang, Jiangang Bai et al.
Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
Zitong Yang, Yu Bai, Song Mei
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning
Giovanni Cherubin, Konstantinos Chatzikokolakis, Martin Jaggi
Examining and Combating Spurious Features under Distribution Shift
Chunting Zhou, Xuezhe Ma, Paul Michel et al.
Explainable Automated Graph Representation Learning with Hyperparameter Importance
Xin Wang, Shuyi Fan, Kun Kuang et al.
Explaining Time Series Predictions with Dynamic Masks
Jonathan Crabbé, Mihaela Van Der Schaar