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A Tight Linear Time Approximation for Unconstrained Submodular Maximization Niv Buchbinder Statistics and Operations Research Dept

A Tight Linear Time Approximation for Unconstrained Submodular Maximization Niv Buchbinder Statistics and Operations Research Dept

  • pamella-moone
  • 10 Slides

Tel Aviv University Tel Aviv Israel nivbuchbinder...

Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints Rishabh Iyer Department of Electrical Engineering University of Washington rkiyeru

Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints Rishabh Iyer Department of Electrical Engineering University of Washington rkiyeru

  • trish-goza
  • 9 Slides

washingtonedu Jeff Bilmes Department of Electrical...

Vir man hero virtue virile triumvirate adj greedy

Vir man hero virtue virile triumvirate adj greedy

  • olivia-moreira
  • 3 Slides

adj few a few paucity poco adj Roman Romance ...

Classes of Submodular Constraints Expressible by Graph

Classes of Submodular Constraints Expressible by Graph

  • liane-varnes
  • 15 Slides

Jeavons Computing Laboratory University of Oxford...

The Greedy Method Page 3 Matchingwhich have a vertex in common. perfe

The Greedy Method Page 3 Matchingwhich have a vertex in common. perfe

  • briana-ranney
  • 6 Slides

Figure 1 MatchingMany problems that seem unrelate...

Considerasetofrequestsforaroom.Onlyonepersoncanreservetheroomatatime,a

Considerasetofrequestsforaroom.Onlyonepersoncanreservetheroomatatime,a

  • danika-pritchard
  • 11 Slides

Greedy Code 1Sortby nishingtime,renumberwith1havin...

"He who is greedy for gain troubles his own house, but he who hates br

  • ellena-manuel
  • 1 Slides

Proverbs 15=27 Soncino Commentary, "Money so ob...

SAS GREEDY 51 DIGIT MATCH MACROThe SAS Macro presented here is an impr

SAS GREEDY 51 DIGIT MATCH MACROThe SAS Macro presented here is an impr

  • calandra-battersby
  • 6 Slides

0.10.20.30.40.50.60.70.80.9CasesControlsPropensity...

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Search Advertising

  • cheryl-pisano
  • 57 Slides

These slides are modified from those by . Anand. ...

Reducing the collection of

Reducing the collection of

  • tatiana-dople
  • 35 Slides

itemsets. : alternative representations and combi...

Graph cuts for maximum a

Graph cuts for maximum a

  • mitsue-stanley
  • 71 Slides

posteriori. inference with Markov random field p...

Cost-effective Outbreak Detection in Networks

Cost-effective Outbreak Detection in Networks

  • min-jolicoeur
  • 35 Slides

Jure Leskovec, Andreas Krause, Carlos Guestrin, C...

Greedy Layer-Wise Training of Deep Networks

Greedy Layer-Wise Training of Deep Networks

  • tatiana-dople
  • 45 Slides

Yoshua. . Bengio. , Pascal . Lamblin. , Dan . Po...

Introduction to Algorithms

Introduction to Algorithms

  • celsa-spraggs
  • 15 Slides

. Greedy . Algorithms. CSE 680. Prof. Roger Craw...

DATA MINING

DATA MINING

  • olivia-moreira
  • 44 Slides

LECTURE . 13. Absorbing Random walks. Coverage. A...

Informed search strategies

Informed search strategies

  • karlyn-bohler
  • 39 Slides

Idea: give the algorithm “hints” about the de...

Price of Anarchy for the N-player Competitive Cascade Game

Price of Anarchy for the N-player Competitive Cascade Game

  • test
  • 25 Slides

with . S. ubmodular. . Activation Functions. Xin...

Optimizing Recommender Systems as a

Optimizing Recommender Systems as a

  • mitsue-stanley
  • 64 Slides

Submodular. Bandits Problem. Yisong Yue. Carnegi...

Carousel Greedy: A Generalized Greedy Algorithm for Optimiz

Carousel Greedy: A Generalized Greedy Algorithm for Optimiz

  • myesha-ticknor
  • 28 Slides

Carmine . Cerrone. , . Raffaele. . Cerulli. , Br...

Linear

Linear

  • luanne-stotts
  • 1 Slides

Submodular. Bandits . and their Application to D...

Provable Submodular Minimization

Provable Submodular Minimization

  • mitsue-stanley
  • 30 Slides

using Wolfe’s Algorithm. Deeparnab Chakrabarty ...

Soul Refreshing:

Soul Refreshing:

  • natalia-silvester
  • 15 Slides

Every soul has an empty, restless, greedy longing...

Adaptive

Adaptive

  • briana-ranney
  • 27 Slides

Submodularity. :. A New Approach to Active Learni...

Review: Tree search

Review: Tree search

  • olivia-moreira
  • 41 Slides

Initialize. . the . frontier . using the . start...

Randomized Sensing in

Randomized Sensing in

  • min-jolicoeur
  • 24 Slides

Adversarial Environments. Andreas . Krause. Joint...

Advertising on the Web

Advertising on the Web

  • liane-varnes
  • 39 Slides

Mining of Massive Datasets. Jure Leskovec, . Anan...

UncorrelatedMultilinearPrincipalComponentAnalysis

UncorrelatedMultilinearPrincipalComponentAnalysis

  • luanne-stotts
  • 8 Slides

composition(TROD)isusedtorepresentaclassofim-agesb...

An ALPS’ view of Sparse Recovery

An ALPS’ view of Sparse Recovery

  • mitsue-stanley
  • 27 Slides

Volkan . Cevher. volkan.cevher@epfl.ch. Laborator...

Heuristics for Road Network Augmentation

Heuristics for Road Network Augmentation

  • debby-jeon
  • 20 Slides

Bart Jansen, University of Utrecht. Problem backg...

An Elder Must Be . . .

An Elder Must Be . . .

  • lindy-dunigan
  • 12 Slides

An Elder Must Be . . .. Temperate/Self-Controlled...

The Leadership In The Local Church

The Leadership In The Local Church

  • min-jolicoeur
  • 22 Slides

. (Acts 20:28) . "Therefore take heed to yoursel...

Cascading Behavior in Networks

Cascading Behavior in Networks

  • faustina-dinatale
  • 25 Slides

Andrew . Ouzts. Based on . “Cascading . Behavio...

What does Greedy Cat Like?

What does Greedy Cat Like?

  • test
  • 11 Slides

by Kauri 2.

Recovering low rank and sparse matrices from compressive me

Recovering low rank and sparse matrices from compressive me

  • giovanna-bartolotta
  • 30 Slides

Aswin C Sankaranarayanan. Rice University. Richar...

Variational Inference in

Variational Inference in

  • kittie-lecroy
  • 23 Slides

Bayesian Submodular Models. Josip . Djolonga. joi...

Submodular Set Function Maximization

Submodular Set Function Maximization

  • giovanna-bartolotta
  • 53 Slides

A Mini-Survey. Chandra . Chekuri. Univ. of Illino...

Pushkar

Pushkar

  • marina-yarberry
  • 63 Slides

. Tripathi. Georgia Institute of Technology. App...

Greedy Routing

Greedy Routing

  • tawny-fly
  • 45 Slides

with . Guaranteed Delivery . Using Ricci Flow. Ji...

Multi-threaded Algorithm 2

Multi-threaded Algorithm 2

  • min-jolicoeur
  • 29 Slides

Michael Tsai. 2014/1/2. Scheduling. Scheduler. ...

Scalable Routing in 3D High Genus Sensor Networks Using Gra

Scalable Routing in 3D High Genus Sensor Networks Using Gra

  • briana-ranney
  • 33 Slides

Xiaokang. Yu. 1. , . Xiaotian. Yin. 2. , Wei Ha...

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