Schedule - GMT+1 TIME ZONE (EU/London)

TO ATTEND THE VIRTUAL WORKSHOP PLEASE GO TO [link TBA]

FRIDAY 9th DECEMBER

FIRST SESSION

09:00 AM UTC -- Introduction and opening remarks. Workshop organizers.

09:05 AM UTC -- Invited talk: MORINE AMUTORINE, "Lessons from the deployment of data science during the COVID-19 response in Africa"

09:40 AM UTC -- Invited talk: GRAHAM CORMODE, "Taking federated analytics from theory to practice"

10.35 AM UTC - 10.55 AM UTC -- BREAK

10:55 AM UTC - 11:45 AM UTC -- Contributed talks I

• "MLOps: Open Challenges from Hardware and Software Perspective in TinyML Devices"

• "Deploying Imitation Learning using VR Hand Tracking in Robot Manipulation Tasks"

• "MLOps for Compositional AI"

• "Tree DNN: A Deep Container Network"

11:50 AM UTC - 12:30 PM UTC -- Virtual Poster session I

All papers presented in "Contributed talks I" session, plus:

• "A Case for Rejection in Low Resource ML Deployment"

• "Post-Training Neural Network Compression With Variational Bayesian Quantization "

• "Continual learning on deployment pipelines for Machine Learning Systems "

• "Desiderata for next generation of ML model serving "

12:30 PM UTC - 1:50 PM UTC -- BREAK

SECOND SESSION

1:50 PM UTC -- Introduction to the second session. Workshop organizers.

1:50 PM UTC -- Invited talk: IVANA DUSPARIC, "Reinforcement learning in large-scale heterogeneous dynamic systems"

2:35 PM UTC - 2:55 PM UTC -- Contributed talks II

• "Gumbel-Softmax Selective Networks"

• "A Preliminary Study of MLOps Practices in GitHub"

2:55 PM UTC -- Invited talk: ALEJANDRO SAUCEDO, "Security in production machine learning systems"

3:50 PM UTC - 4:00 PM UTC -- BREAK

4:00 PM UTC -- Panel Discussion: Open problems in machine learning systems

• • • • • • • Chair: Stephen Roberts

            • MORINE AMUTORINE, IVANA DUSPARIC, JEROME WHITE, MURTUZA N SHERGADWALA

5:00 PM UTC - 5:30 PM UTC -- Virtual Poster session II

All papers presented in "Contributed talks II" session, plus:

• "A Human-Centric Take on Model Monitoring"

• "AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis"

• "Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms"

• "Just Following AI Orders: When Unbiased People Are Influenced By Biased AI"

• "Characterizing Anomalies with Explainable Classifiers"

• "SEIFER: Scalable Edge Inference for Deep Neural Networks"

• "Property-Driven Evaluation of RL-Controllers in Self-Driving Datacenters"

5:30 PM UTC -- Invited talk: YU-XIANG WANG, "Practical differential privacy"

6:15 PM UTC -- Panel discussion: Security and privacy in machine learning systems

• • • • • • • Chair: Borja Balle

            • ALEJANDRO SAUCEDO, YU-XIANG WANG, GRAHAM CORMODE, NEIL LAWRENCE

7:15 PM UTC -- Final remarks. Workshop organizers.

7:20 PM UTC -- End of the day