200+ Top Institute for Advanced Study Online Courses [2024]

The Past and Future of Unification

Extremal Set Theory - Andrey Kupavskii

Sparse Matrices in Sparse Analysis - Anna Gilbert

Primes and Knots - Akshay Venkatesh

Optimization Landscape and Two-Layer Neural Networks - Rong Ge

Red Supergiants - New Perspectives on Dying Stars - Emily Levesque

Toward a Causal Analysis of Generalization in Deep Learning - Behnam Neyshabur

Representational Power of Graph Neural Networks - Stefanie Jegelka

Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin

Learning Representations Using Causal Invariance - Leon Bottou

From Classical Statistics to Modern ML - The Lessons of Deep Learning - Mikhail Belkin

On the Connection Between Neural Networks and Kernels: A Modern Perspective - Simon Du

Energy-Based Approaches to Representation Learning - Yann LeCun

Are All Features Created Equal? - Aleksander Madry

Overcoming the Curse of Dimensionality and Mode Collapse - Ke Li

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The Past and Future of Unification

Extremal Set Theory - Andrey Kupavskii

Sparse Matrices in Sparse Analysis - Anna Gilbert

Primes and Knots - Akshay Venkatesh

Optimization Landscape and Two-Layer Neural Networks - Rong Ge

Red Supergiants - New Perspectives on Dying Stars - Emily Levesque

Toward a Causal Analysis of Generalization in Deep Learning - Behnam Neyshabur

Representational Power of Graph Neural Networks - Stefanie Jegelka

Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin

Learning Representations Using Causal Invariance - Leon Bottou

From Classical Statistics to Modern ML - The Lessons of Deep Learning - Mikhail Belkin

On the Connection Between Neural Networks and Kernels: A Modern Perspective - Simon Du

Energy-Based Approaches to Representation Learning - Yann LeCun

Are All Features Created Equal? - Aleksander Madry

Overcoming the Curse of Dimensionality and Mode Collapse - Ke Li

Institute for Advanced Study Courses

The Past and Future of Unification

Extremal Set Theory - Andrey Kupavskii

Sparse Matrices in Sparse Analysis - Anna Gilbert

Primes and Knots - Akshay Venkatesh

Optimization Landscape and Two-Layer Neural Networks - Rong Ge

Red Supergiants - New Perspectives on Dying Stars - Emily Levesque

Toward a Causal Analysis of Generalization in Deep Learning - Behnam Neyshabur

Representational Power of Graph Neural Networks - Stefanie Jegelka

Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin

Learning Representations Using Causal Invariance - Leon Bottou

From Classical Statistics to Modern ML - The Lessons of Deep Learning - Mikhail Belkin

On the Connection Between Neural Networks and Kernels: A Modern Perspective - Simon Du

Energy-Based Approaches to Representation Learning - Yann LeCun

Are All Features Created Equal? - Aleksander Madry

Overcoming the Curse of Dimensionality and Mode Collapse - Ke Li