Media Summary: Ana Bušić, INRIA and École Normale Supérieure Paris Real-Time Decision Making ... Chaitanya Swamy, University of Waterloo Discrete SNAPP Webpage: Speaker: Ana Bušić (INRIA and ENS, Paris), September 28, ...

Approximate Optimality With Bounded Regret - Detailed Analysis & Overview

Ana Bušić, INRIA and École Normale Supérieure Paris Real-Time Decision Making ... Chaitanya Swamy, University of Waterloo Discrete SNAPP Webpage: Speaker: Ana Bušić (INRIA and ENS, Paris), September 28, ... In this video, we'll explore Herbert Simon's theory of From unknown input distributions to restricted instance In this AI Research Roundup episode, Alex discusses the paper: 'A Researcher's Guide to Empirical Risk Minimization' This paper ...

Presentation for the 2021 INFORMS Annual Meeting. The talk is based on the following paper: Seyedmohammadhossein ... Computer Science/Discrete Mathematics Seminar I Topic: A nearly Google Tech Talks May 21, 2007 ABSTRACT Credits: Speaker:Craig Boutilier. MIT 6.890 Algorithmic Lower Bounds: Fun with Hardness Proofs, Fall 2014 View the complete course:

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Approximate Optimality with Bounded Regret in Dynamic Matching Models
Compact, Provably-good LPs for Orienteering and Regret-bounded Vehicle Routing
Optimality and Approximation with Policy Gradient Methods
Constant Regret in Exchangeable Action Models: Overbooking, Bin Packing, and Beyond
On Approximation Guarantees for Greedy Low Rank Optimization
SNAPP Seminar  ||  Ana Bušić (INRIA and ENS, Paris) ||  September 28, 2020
Herbert Simon - Bounded Rationality & Satisficing (How to Avoid Regret)
Beyond Worst-Case Analysis (Lecture 20: From Unknown Input Distributions to Instance Optimality)
A New Framework for ERM Regret Bounds
An Improved Approximation for Maximum k-Dependent Set on Bipartite Graphs
A nearly optimal lower bound on the approximate degree of AC00- Mark Bun
Regret-based Methods for Preference Elicitation and...
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Approximate Optimality with Bounded Regret in Dynamic Matching Models

Approximate Optimality with Bounded Regret in Dynamic Matching Models

Ana Bušić, INRIA and École Normale Supérieure Paris Real-Time Decision Making ...

Compact, Provably-good LPs for Orienteering and Regret-bounded Vehicle Routing

Compact, Provably-good LPs for Orienteering and Regret-bounded Vehicle Routing

Chaitanya Swamy, University of Waterloo https://simons.berkeley.edu/talks/chaitanya-swamy-09-12-17 Discrete

Optimality and Approximation with Policy Gradient Methods

Optimality and Approximation with Policy Gradient Methods

Optimality

Constant Regret in Exchangeable Action Models: Overbooking, Bin Packing, and Beyond

Constant Regret in Exchangeable Action Models: Overbooking, Bin Packing, and Beyond

Daniel Freund (MIT) ...

On Approximation Guarantees for Greedy Low Rank Optimization

On Approximation Guarantees for Greedy Low Rank Optimization

Sahand Negahban, Yale University https://simons.berkeley.edu/talks/sahand-neghaban-11-30-17

SNAPP Seminar  ||  Ana Bušić (INRIA and ENS, Paris) ||  September 28, 2020

SNAPP Seminar || Ana Bušić (INRIA and ENS, Paris) || September 28, 2020

SNAPP Webpage: https://sites.google.com/view/snappseminar/home Speaker: Ana Bušić (INRIA and ENS, Paris), September 28, ...

Herbert Simon - Bounded Rationality & Satisficing (How to Avoid Regret)

Herbert Simon - Bounded Rationality & Satisficing (How to Avoid Regret)

In this video, we'll explore Herbert Simon's theory of

Beyond Worst-Case Analysis (Lecture 20: From Unknown Input Distributions to Instance Optimality)

Beyond Worst-Case Analysis (Lecture 20: From Unknown Input Distributions to Instance Optimality)

From unknown input distributions to restricted instance

A New Framework for ERM Regret Bounds

A New Framework for ERM Regret Bounds

In this AI Research Roundup episode, Alex discusses the paper: 'A Researcher's Guide to Empirical Risk Minimization' This paper ...

An Improved Approximation for Maximum k-Dependent Set on Bipartite Graphs

An Improved Approximation for Maximum k-Dependent Set on Bipartite Graphs

Presentation for the 2021 INFORMS Annual Meeting. The talk is based on the following paper: Seyedmohammadhossein ...

A nearly optimal lower bound on the approximate degree of AC00- Mark Bun

A nearly optimal lower bound on the approximate degree of AC00- Mark Bun

Computer Science/Discrete Mathematics Seminar I Topic: A nearly

Regret-based Methods for Preference Elicitation and...

Regret-based Methods for Preference Elicitation and...

Google Tech Talks May 21, 2007 ABSTRACT Credits: Speaker:Craig Boutilier.

10. Inapproximabililty Overview

10. Inapproximabililty Overview

MIT 6.890 Algorithmic Lower Bounds: Fun with Hardness Proofs, Fall 2014 View the complete course: http://ocw.mit.edu/6-890F14 ...