Name: Provably Efficient Reinforcement Learning under Linear Model Structures: From Tabular to Feature based Exploration
Start: 2021-11-04T14:00:00-04:00
End: 2021-11-04T16:00:00-04:00
Location: Hybrid (In-person and Remote)

August 2020

August 6, 2020 @ 10:00 am - 12:00 pm

Efficiency in Machine Learning with Focus on Deep Learning and Recommender Systems

June 2021

June 2, 2021 @ 3:30 pm - 5:30 pm

Multi-task Hierarchical Reinforcement Learning for Compositional Tasks

Remote/Virtual

June 8, 2021 @ 4:00 pm - 6:00 pm

Ride-Sharing Optimization Algorithms for Urban Commuting

Remote/Virtual

June 17, 2021 @ 3:00 pm - 5:00 pm

Understanding User Cognition: from Spatial Ability to Code Writing and Review

Remote/Virtual

July 2021

July 16, 2021 @ 5:00 pm - 7:00 pm

Enabling Hyperscale Web Services

Remote/Virtual

July 19, 2021 @ 3:00 pm - 5:00 pm

Towards Learning the Foundations of Manipulation Actions with Unguided Exploration

Remote/Virtual

July 21, 2021 @ 11:30 am - 1:30 pm

Towards Closing the Programmability-Efficiency Gap using Software-Defined Hardware

Remote/Virtual

July 22, 2021 @ 12:00 pm - 2:00 pm

Architectural Enhancements for Data Transport in Datacenter Systems

Remote/Virtual

July 27, 2021 @ 9:00 am - 11:00 am

Enforcing Realism and Temporal Consistency for Large-Scale Video Inpainting

Remote/Virtual

July 28, 2021 @ 12:00 pm - 2:00 pm

Cautiously Optimistic Program Analyses for Secure and Reliable Software

Remote/Virtual

August 2021

August 2, 2021 @ 10:00 am - 12:00 pm

Efficient Resource Management for Deep Learning Clusters

Remote/Virtual

August 5, 2021 @ 10:00 am - 12:00 pm

Provably Efficient Reinforcement Learning: From Single-Agent MDPs to Markov Games

Remote/Virtual

August 10, 2021 @ 2:00 pm - 4:00 pm

Optimizing Spare Linear Algebra on Reconfigurable Architecture

Remote/Virtual

October 2021

October 13, 2021 @ 2:00 pm - 4:00 pm

From Finite to Infinite: Scalable Automatic Verification of Hardware Designs and Distributed Protocols

Remote/Virtual

October 22, 2021 @ 9:30 am - 11:30 am

Accelerated Systems for Pattern Matching

Hybrid (In-person and Remote)

November 2021

November 1, 2021 @ 1:30 pm - 3:30 pm

Graph Summarization Meets Representation Learning for Scalable Feature Summarization: Methods & Applications

Remote/Virtual

November 4, 2021 @ 2:00 pm - 4:00 pm

Provably Efficient Reinforcement Learning under Linear Model Structures: From Tabular to Feature based Exploration

Hybrid (In-person and Remote)

Events

Ashley Andreae

August 2020

Efficiency in Machine Learning with Focus on Deep Learning and Recommender Systems

June 2021

Multi-task Hierarchical Reinforcement Learning for Compositional Tasks

Ride-Sharing Optimization Algorithms for Urban Commuting

Understanding User Cognition: from Spatial Ability to Code Writing and Review

July 2021

Enabling Hyperscale Web Services

Towards Learning the Foundations of Manipulation Actions with Unguided Exploration

Towards Closing the Programmability-Efficiency Gap using Software-Defined Hardware

Architectural Enhancements for Data Transport in Datacenter Systems

Enforcing Realism and Temporal Consistency for Large-Scale Video Inpainting

Cautiously Optimistic Program Analyses for Secure and Reliable Software

August 2021

Efficient Resource Management for Deep Learning Clusters

Provably Efficient Reinforcement Learning: From Single-Agent MDPs to Markov Games

Optimizing Spare Linear Algebra on Reconfigurable Architecture

October 2021

From Finite to Infinite: Scalable Automatic Verification of Hardware Designs and Distributed Protocols

Accelerated Systems for Pattern Matching

November 2021

Graph Summarization Meets Representation Learning for Scalable Feature Summarization: Methods & Applications

Provably Efficient Reinforcement Learning under Linear Model Structures: From Tabular to Feature based Exploration