ACML 2021
115 papers
BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning
Chi Zhang, Sanmukh Kuppannagari, Prasanna Viktor
A Mutual Information Regularization for Adversarial Training
Modeste Atsague, Olukorede Fakorede, Jin Tian
Encoder-decoder-based image transformation approach for integrating precipitation forecasts
Hirotaka Hachiya, Yusuke Masumoto, Yuki Mori, Naonori Ueda
On the Convex Combination of Determinantal Point Processes
Tatsuya Matsuoka, Naoto Ohsaka, Akihiro Yabe
An Aligned Subgraph Kernel Based on Discrete-Time Quantum Walk
Kai Liu, Lulu Wang, Yi Zhang
Meta-Model-Based Meta-Policy Optimization
Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi
Fairness constraint of Fuzzy C-means Clustering improves clustering fairness
Xu Xia, Zhang Hui, Ynag Chunming, Zhao Xujian, Li Bo
CTAB-GAN: Effective Table Data Synthesizing
Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen
h-DBSCAN: A simple fast DBSCAN algorithm for big data
Shaoyuan Weng, Jin Gou, Zongwen Fan
Local Aggressive Adversarial Attacks on 3D Point Cloud
Yiming Sun, Feng Chen, Zhiyu Chen, Mingjie Wang
The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization
Aaron Defazio, Robert M. Gower
Hybrid Estimation for Open-Ended Questions with Early-Age Students’ Block-Based Programming Answers
Hao Wu, Tianyi Chen, Xianzhe Luo, Canghong Jin, Yun Zhang
Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron
Jun-Kun Wang, Jacob Abernethy
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds
Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray
Asian Conference on Machine Learning: Preface
Vineeth N. Balasubramanian, Ivor Tsang