Reading Group Algorithms

Seminar

Basic Information

Given by:Kurt Mehlhorn, Bhaskar Ray Chaudhury
Time: (Wednesday, 4:15 PM)
Room:E1.4 024
First Meeting: April, 10th
Credits:7 credit points
Prerequisites:You should bring a solid background in algorithms and data structures. This is an advanced seminar. The papers are challenging and a proper preparation of your talk will require some effort. Thus, you should bring a great passion for theoretical computer science. The target audience of this reading group are master students, PhD students, as well as postdocs.

Description

We will read (more or less) recent papers in theoretical computer science. The paper may be less recent if there is interesting follow-up work. In each session we have a regular presentation (40-60 minutes + discussion) of one paper. The reading group is open for all interested students and postdocs. Students aiming to get credit points must give a regular talk and write a short summary about the paper.

You earn the usual 7 credit points for a seminar if you (i) give a regular presentation of the paper given to you, and (ii) write a short summary (about 5 pages). The summary should be handed in within the first two weeks after the end of the semester, more precisely until tba (around August, 15th). You will receive comments and can improve your summary based on our comments. The presentation needs to be discussed with us at least one week before your scheduled talk in the reading group (you are supposed to give a practice talk to your supervisor).

The reading group counts as a seminar in your study program. You can register by sending an e-mail to Bhaskar. Please make sure that you read the section on prerequisites above before you register.

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Schedule

DateSpeakerTopicReference
Apr, 10Bhaskar

Introduction to the Reading Group

 

[Apr10]
  Approximating Maximin Share Allocations 
Apr, 17KurtThe Query Complexity of a Permutation-Based Variant of Mastermind[Apr17]
Apr, 24BhaskarThe Geometry of Binary Search Trees[Apr24]
May, 1 <labor day> 
May, 8

André

Approximating (k,l)-center clustering for curves[May8]

May,

15

AlkminiUniversal Traveling Salesman Problem[May15]
May, 22CorinnaLocal Computation: Lower and Upper Bounds[May22]

May, 29

JannisApproximating LCS in Linear Time: Beating the sqrt(n) Barrier[May29]
Jun, 5SebastianAlmost Envy-Freeness with General Valuations[Jun5]
Jun, 12Elizaveta

Optimal Analysis of an Online Algorithm for the Bipartite Matching Problem on a Line

[Jun12]

Jun, 19

Anuragtba[Jun19]
Jun, 26Danieltba 
Jul, 3Alejandro

A note on Max K-Vertex Cover: Faster FPTAS, Smaller Approximate Kernel and Improved Approximation

[Jul3]
Jul, 10VirabAn Illuminating Algorithm for the Light Bulb Problem[Jul10]
Jul, 17LennartSeparating Monotone VP and VNP[Jul17]
Jul, 24 tba 

References

 Paper Title / Abstract of TalkAuthors
[Apr10]Approximating Maximin Share Allocations

Jugal Garg,

Peter McGlaughlin,

Setareh Taki

[Apr17]Query Complexity of a Permutation-Based Variant of Mastermind

Peyman Afshani,

Manindra Agrawal,

Benjamin Doerr,

Carola Doerr,

Kasper Green Larsen,

Kurt Mehlhorn

[Apr24]The Geometry of Binary Search Trees

Erik D, Demaine,

Dion Harmon,

John Iacono,

Daniel Kane,

Mihai Patrascu

[May8]Approximating (k, ℓ)-center clustering for curves

Kevin Buchin,

Anne Driemel,

Joachim Gudmundsson,

Michael Horton,

Irina Kostitsyna,

Maarten Löffler,

Martijn Struijs

[May15]Spacefilling curves and the planar travelling salesman problem

Loren K. Platzman,

John J. Bartholdi

[May22]Local Computation: Lower and Upper Bounds

Fabian Kuhn,

Thomas Moscibroda,

Roger Wattenhoffer

[May29]Approximating LCS in Linear Time: beating the sqrt(n) Barrier

MohammadTaghi Hajiaghayi,

Masoud Seddighin,

Saeed Seddighin,

Xiourui Sun

[Jun5]Almost Envy-Freeness with General Valuations

Benjamin Plaut,

Tim Roughgarden

[Jun12]Optimal Analysis of an Online Algorithm for the Bipartite Matching Problem on a Line

Sharath Raghavendra

[Jun19]Touring a Sequence of Polygons

Moshe Dror,

Alan Efrat,

Anna Lubiw,

Joseph Mitchell

[Jul3]A Note on Max k-Vertex Cover: Faster FPT-AS, Smaller Approximate Kernel and Improved Approximation

Pasin Manurangsi

[Jul10]An Illuminating Algorithm for the Light Bulb Problem

Josh Alman

[Jul17]Separating Monotone VP and VNP

Amir Yehudayoff