Media Summary: Akshay Ramachandran (University of Amsterdam) ... Timothy Carpenter, Ilias Diakonikolas, Anastasios Sidiropoulos and Alistair Stewart This video briefly introduces the following academic paper (to appear on TMLR journal 2022). Title: Multi Agent Off Policy TDC ...

Near Optimal Sample Complexity For - Detailed Analysis & Overview

Akshay Ramachandran (University of Amsterdam) ... Timothy Carpenter, Ilias Diakonikolas, Anastasios Sidiropoulos and Alistair Stewart This video briefly introduces the following academic paper (to appear on TMLR journal 2022). Title: Multi Agent Off Policy TDC ... The Plugin Approach for Average-Reward and Discounted MDPs: The 32nd International Conference on Algorithmic Learning Theory (ALT 2021) Title: On the Tim Roughgarden: "Learning Near Optimal Auctions and Heuristics" - 3/7/16 - Ford ITW

A Google TechTalk, presented by Dmitrii Avdyukhin, 2023-02-21 ABSTRACT: We study the problem of learning a hierarchical tree ... The 32nd International Conference on Algorithmic Learning Theory (ALT 2021) Title: In this AI Research Roundup episode, Alex discusses the paper: 'Can Neural Networks Achieve Abstract: We consider the problem of determining which classes of functions can be tested more efficiently than they can be ...

Photo Gallery

Near Optimal Sample Complexity For Matrix And Tensor Normal Models Via Geodesic Convexity
The Sample Complexity of Revenue Maximization
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of ...
Multi Agent Off Policy TDC with Near Optimal Sample and Communication Complexities
[ALT 2025] Plugin Approach for Average-Reward & Discounted MDPs: Optimal Sample Complexity Analysis
Optimal Sample Complexity of Single-Time-Scale Actor-Critic, and Non-rectangular Robust RL
On the Sample Complexity of Privately Learning Unbounded Gaussians
Tim Roughgarden: "Learning Near Optimal Auctions and Heuristics"  - 3/7/16 - Ford ITW
Tree Learning: Optimal Algorithms and Sample Complexity
Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model
Learning versus Proofs of Complexity Lower Boundes
Optimal NN Learning: Solved?
View Detailed Profile
Near Optimal Sample Complexity For Matrix And Tensor Normal Models Via Geodesic Convexity

Near Optimal Sample Complexity For Matrix And Tensor Normal Models Via Geodesic Convexity

Akshay Ramachandran (University of Amsterdam) ...

The Sample Complexity of Revenue Maximization

The Sample Complexity of Revenue Maximization

Tim Roughgarden, Stanford University

Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of ...

Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of ...

Timothy Carpenter, Ilias Diakonikolas, Anastasios Sidiropoulos and Alistair Stewart

Multi Agent Off Policy TDC with Near Optimal Sample and Communication Complexities

Multi Agent Off Policy TDC with Near Optimal Sample and Communication Complexities

This video briefly introduces the following academic paper (to appear on TMLR journal 2022). Title: Multi Agent Off Policy TDC ...

[ALT 2025] Plugin Approach for Average-Reward & Discounted MDPs: Optimal Sample Complexity Analysis

[ALT 2025] Plugin Approach for Average-Reward & Discounted MDPs: Optimal Sample Complexity Analysis

The Plugin Approach for Average-Reward and Discounted MDPs:

Optimal Sample Complexity of Single-Time-Scale Actor-Critic, and Non-rectangular Robust RL

Optimal Sample Complexity of Single-Time-Scale Actor-Critic, and Non-rectangular Robust RL

Optimal Sample Complexity of

On the Sample Complexity of Privately Learning Unbounded Gaussians

On the Sample Complexity of Privately Learning Unbounded Gaussians

The 32nd International Conference on Algorithmic Learning Theory (ALT 2021) Title: On the

Tim Roughgarden: "Learning Near Optimal Auctions and Heuristics"  - 3/7/16 - Ford ITW

Tim Roughgarden: "Learning Near Optimal Auctions and Heuristics" - 3/7/16 - Ford ITW

Tim Roughgarden: "Learning Near Optimal Auctions and Heuristics" - 3/7/16 - Ford ITW

Tree Learning: Optimal Algorithms and Sample Complexity

Tree Learning: Optimal Algorithms and Sample Complexity

A Google TechTalk, presented by Dmitrii Avdyukhin, 2023-02-21 ABSTRACT: We study the problem of learning a hierarchical tree ...

Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model

Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model

The 32nd International Conference on Algorithmic Learning Theory (ALT 2021) Title:

Learning versus Proofs of Complexity Lower Boundes

Learning versus Proofs of Complexity Lower Boundes

Marco Carmosino (UC San Diego) https://simons.berkeley.edu/talks/learning-versus-proofs-

Optimal NN Learning: Solved?

Optimal NN Learning: Solved?

In this AI Research Roundup episode, Alex discusses the paper: 'Can Neural Networks Achieve

A&C Seminar: Nathan Harms - VC Dimension and Distribution-Free Sample-Based Testing

A&C Seminar: Nathan Harms - VC Dimension and Distribution-Free Sample-Based Testing

Abstract: We consider the problem of determining which classes of functions can be tested more efficiently than they can be ...