Talks

• [Video] José Miguel Hernández Lobato: Latent Space Optimization with Deep Generative Models
• [Video] Tom Rainforth: Designing Bayesian-Optimal Experiments with Stochastic Gradients
• [Video] Dorsa Sadigh: Active Learning of Robot Reward Functions
• [Video] Anca Dragan: Active Learning through Physically-embodied, Synthesized-from-“scratch” Queries
• [Video] Aaditya Ramdas: Uncertainty Quantification Using Martingales for Misspecified Gaussian Processes
• [Video] Shipra Agrawal: Learning to Manage Inventory
• [Video] Jennifer Listgarten: Machine Learning-based Design (of Proteins, Small Molecules and Beyond)
• [Video] Angela Schoellig: Safe and Efficient Active Learning Strategies for Robotics Applications
• [Video] Pietro Perona: Towards Causal Benchmarking of Bias in Face Analysis Algorithms