Papers
Active Invariant Causal Prediction: Experiment Selection through Stability
Juan L. Gamella, Christina Heinze-Deml
Active Structure Learning of Causal DAGs via Directed Clique Trees
Chandler Squires, Sara Magliacane, Kristjan Greenewald et al.
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
Juntang Zhuang, Tommy Tang, Yifan Ding et al.
Adam with Bandit Sampling for Deep Learning
Rui Liu, Tianyi Wu, Barzan Mozafari
Adaptation Properties Allow Identification of Optimized Neural Codes
Luke Rast, Jan Drugowitsch
Adapting Neural Architectures Between Domains
Yanxi Li, Zhaohui Yang, Yunhe Wang et al.
Adapting to Misspecification in Contextual Bandits
Dylan J Foster, Claudio Gentile, Mehryar Mohri et al.
Adaptive Discretization for Model-Based Reinforcement Learning
Sean Sinclair, Tianyu Wang, Gauri Jain et al.
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach
Peter W. Glynn, Ramesh Johari, Mohammad Rasouli
Adaptive Gradient Quantization for Data-Parallel SGD
Fartash Faghri, Iman Tabrizian, Ilia Markov et al.
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
LEI BAI, Lina Yao, Can Li et al.
Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes
Ayoub El Hanchi, David Stephens
Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment
Govinda Kamath, Tavor Baharav, Ilan Shomorony
Adaptive Online Estimation of Piecewise Polynomial Trends
Dheeraj Baby, Yu-Xiang Wang
Adaptive Probing Policies for Shortest Path Routing
Aditya Bhaskara, Sreenivas Gollapudi, Kostas Kollias et al.
Adaptive Reduced Rank Regression
Qiong Wu, Felix MF Wong, Yanhua Li et al.
Adaptive Sampling for Stochastic Risk-Averse Learning
Sebastian Curi, Kfir Y. Levy, Stefanie Jegelka et al.
Adaptive Shrinkage Estimation for Streaming Graphs
Nesreen Ahmed, Nick Duffield
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Ximeng Sun, Rameswar Panda, Rogerio Feris et al.
AdaTune: Adaptive Tensor Program Compilation Made Efficient
Menghao Li, Minjia Zhang, Chi Wang et al.
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
Mingrui Liu, Wei Zhang, Youssef Mroueh et al.
A Dictionary Approach to Domain-Invariant Learning in Deep Networks
Ze Wang, Xiuyuan Cheng, Guillermo Sapiro et al.