Papers
Dynamic Regret of Online Markov Decision Processes
Peng Zhao, Long-Fei Li, Zhi-Hua Zhou
Dynamic Topic Models for Temporal Document Networks
Delvin Ce Zhang, Hady Lauw
DynaMixer: A Vision MLP Architecture with Dynamic Mixing
Ziyu Wang, Wenhao Jiang, Yiming M Zhu et al.
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
Michael T Wojnowicz, Shuchin Aeron, Eric L Miller et al.
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning
Shuang Ao, Tianyi Zhou, Jing Jiang et al.
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
Shay Vargaftik, Ran Ben Basat, Amit Portnoy et al.
Efficient Approximate Inference for Stationary Kernel on Frequency Domain
Yohan Jung, Kyungwoo Song, Jinkyoo Park
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
Ping Xiong, Thomas Schnake, Grégoire Montavon et al.
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity
Sebastian Shenghong Tay, Chuan Sheng Foo, Urano Daisuke et al.
Efficient Learning for AlphaZero via Path Consistency
Dengwei Zhao, Shikui Tu, Lei Xu
Efficient Learning of CNNs using Patch Based Features
Alon Brutzkus, Amir Globerson, Eran Malach et al.
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models
Valentin Durante, George Katsirelos, Thomas Schiex
Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries
Daniel J Rosenkrantz, Abhijin Adiga, Madhav Marathe et al.
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
Efficient Online ML API Selection for Multi-Label Classification Tasks
Lingjiao Chen, Matei Zaharia, James Zou
Efficient PAC Learning from the Crowd with Pairwise Comparisons
Shiwei Zeng, Jie Shen
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach
Xuezhou Zhang, Yuda Song, Masatoshi Uehara et al.
Efficient Representation Learning via Adaptive Context Pooling
Chen Huang, Walter Talbott, Navdeep Jaitly et al.
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang et al.
Efficient Variance Reduction for Meta-learning
Hansi Yang, James Kwok
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
Taha Bahadori, Eric Tchetgen Tchetgen, David Heckerman
Entropic Causal Inference: Graph Identifiability
Spencer Compton, Kristjan Greenewald, Dmitriy A Katz et al.
Entropic Gromov-Wasserstein between Gaussian Distributions
Khang Le, Dung Q Le, Huy Nguyen et al.
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning
Arnab Kumar Mondal, Vineet Jain, Kaleem Siddiqi et al.
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
Hannes Stärk, Octavian Ganea, Lagnajit Pattanaik et al.