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Task-Optimized Models of

Task-Optimized Models of the Brain (Aran Nayebi)

Large-scale ML: accuracy,

Large-scale ML: accuracy, efficiency, fairness

Machine Learning Meets

Machine Learning Meets Societal Values

Distributive Justice for

Distributive Justice for Machine Learning

Machine Learning Systems

Machine Learning Systems

Next-Gen Statistical Machine

Next-Gen Statistical Machine Learning

Toward the Jet

Toward the Jet Age of ML

Equilibrium Models in

Equilibrium Models in Deep Learning

Deep Learning: From

Deep Learning: From an Alchemist to a Theoretical Alchemist

Machine Learning for

Machine Learning for Personalized Education at Scale

Theory of (mostly)

Theory of (mostly) unsupervised, (mostly) deep machine learning

Learning to Synthesize

Learning to Synthesize Images

AI, Game Theory,

AI, Game Theory, Markets

Assumption-free uncertainty quantification

Assumption-free uncertainty quantification for ML

Machine learning for

Machine learning for single cell analysis

Language in the

Language in the brain and machines

Forecasting Epidemics

Forecasting Epidemics

A Blueprint of

A Blueprint of Standardized and Composable ML: Theory, Algorithm, and System

ML/AI/Data Science for

ML/AI/Data Science for Social Good & Public Policy

Beyond Outcome Fairness

Beyond Outcome Fairness in the ML Pipeline

Towards Embodied Intelligence

Towards Embodied Intelligence

Machine Learning for

Machine Learning for Controlling Complex, Autonomous Systems

Embodied visual learning

Embodied visual learning with neural 3D scene representations

Learning to Synthesize

Learning to Synthesize Images by Jun-Yan Zhu - MLD Ph.D. Open House 2020