Program

Video presentations of the papers can be found on SlidesLive.

Time	Event
Wed, 17 Nov. 01:00 - 03:30 (UTC)	Tutorial: Battle of Bandits: Online learning from Preference Feedback Aadirupa Saha
Wed, 17 Nov. 01:00 - 03:30 (UTC)	Tutorial: Optimal Transport Viet Huynh, He Zhao, Nhat Ho, Dinh Phung
Wed, 17 Nov. 02:30 - 05:10 (UTC)	Workshop: Weakly Supervised Learning Workshop https://wsl-workshop.github.io/acml21.html
Wed, 17 Nov. 04:00 - 06:30 (UTC)	Tutorial: Automated Learning form Graph-Structured Data Dr. Quanming Yao, Dr. Huan Zhao, Dr. Yongqi Zhang
Wed, 17 Nov. 06:00 - 08:30 (UTC)	Workshop: Workshop on Machine Learning for Mobile Robot Vision and Control (MRVC) https://mrvc-2021.net/
Wed, 17 Nov. 07:00 - 09:30 (UTC)	Tutorial: Learning under Noisy Supervision Masashi Sugiyama, Tongliang Liu, Bo Han, Quanming Yao, Gang Niu https://wsl-workshop.github.io/acml21-tutorial
Wed, 17 Nov. 07:00 - 13:00 (UTC)	Workshop: Power-efficient Deep Learning https://greenai-uppa.github.io/power_efficient_deep_learning/
Wed, 17 Nov. 10:00 - 12:30 (UTC)	Tutorial: Differential geometry for generative modeling Søren Hauberg
Thu, 18 Nov. 01:00 - 02:00 (UTC)	Invited Talk: Understanding Overparameterized Machine Learning Models: Optimization, Sampling, Generalization, and Privacy Tong Zhang
Thu, 18 Nov. 02:00 - 04:00 (UTC)	Parallel Session 1 1A: Trustworthy Machine Learning 1B: Computer Vision 1C: Optimization
Thu, 18 Nov. 04:30 - 06:30 (UTC)	Parallel Session 2 2A: Deep Reinforcement Learning 2B: Natural Language Processing 2C: Clustering and Unsupervised Learning
Thu, 18 Nov. 07:00 - 09:00 (UTC)	Parallel Session 3 3A: Learning with Noisy Labels and Data 3B: Efficient Algorithms 3C: Learning with Uneven Data
Thu, 18 Nov. 09:00 - 10:00 (UTC)	Invited Talk: Deep Kernel Machines Johan Suykens
Thu, 18 Nov. 10:00 - 12:00 (UTC)	Poster Session 1
Thu, 18 Nov. 23:00 - 01:00 [+1 day] (UTC)	Poster Session 2
Fri, 19 Nov. 01:00 - 03:00 (UTC)	Parallel Session 4 4A: Architectures of Deep Networks 4B: Reinforcement Learning 4C: Graph Learning
Fri, 19 Nov. 03:30 - 04:30 (UTC)	Invited Talk: Reinforcement Learning with Structured Actions and Policies Balaraman Ravindran
Fri, 19 Nov. 04:30 - 06:30 (UTC)	Parallel Session 5 5A: Bandit and Online Learning 5B: Bayesian Model 5C: Deep Learning Theory
Fri, 19 Nov. 07:00 - 09:00 (UTC)	Parallel Session 6 6A: Federated Learning and Transfer Learning 6B: Generative Models 6C: Applications
Fri, 19 Nov. 09:00 - 10:00 (UTC)	Invited Talk: Agent-Human collaboration for increasing users satisfaction Sarit Kraus
Fri, 19 Nov. 10:00 - 12:00 (UTC)	Poster Session 3