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Alissa M.

Alissa M.

  • olivia-moreira
  • 13 Slides

Stafford. Mentor: Alex . Cloninger. Directed Read...

Learning From Chris Dyer Group

Learning From Chris Dyer Group

  • calandra-battersby
  • 20 Slides

Chao Xing. CSLT Tsinghua. Why?. Chris Dyer. grou...

Efficient Parallelization of Path Planning Workload

Efficient Parallelization of Path Planning Workload

  • conchita-marotz
  • 30 Slides

on Single-chip Shared-memory Multicores. Masab. ...

1 Monte-Carlo Planning:

1 Monte-Carlo Planning:

  • myesha-ticknor
  • 78 Slides

Basic Principles and Recent Progress. Most slides...

Parallelizable Algorithms for the Selection of Grouped

Parallelizable Algorithms for the Selection of Grouped

  • cheryl-pisano
  • 20 Slides

Gonzalo . Mateos. , Juan A. Bazerque, and . Georg...

Using random models in derivative free optimization

Using random models in derivative free optimization

  • trish-goza
  • 78 Slides

Katya Scheinberg. Lehigh University. (mainly base...

Language Modeling

Language Modeling

  • sherrill-nordquist
  • 17 Slides

Part II: Smoothing Techniques. Niranjan Balasubra...

Learning With Dynamic Group Sparsity

Learning With Dynamic Group Sparsity

  • celsa-spraggs
  • 25 Slides

. Junzhou. Huang . Xiaolei. Huang ...

CS 140:

CS 140:

  • celsa-spraggs
  • 37 Slides

Sparse Matrix-Vector Multiplication . and . Graph...

Fast edge-directed

Fast edge-directed

  • phoebe-click
  • 40 Slides

single-image . super-resolution. Mushfiqur Rouf. ...

Learning With Dynamic Group Sparsity

Learning With Dynamic Group Sparsity

  • stefany-barnette
  • 25 Slides

. Junzhou. Huang . Xiaolei. Huang ...

2.7.6

2.7.6

  • yoshiko-marsland
  • 12 Slides

Conjugate . Gradient Method for a Sparse System. ...

Conjugate gradients,

Conjugate gradients,

  • tawny-fly
  • 44 Slides

sparse . matrix-vector multiplication, . graphs, ...

Learning Non-Parametric Basis Independent Models from Point

Learning Non-Parametric Basis Independent Models from Point

  • yoshiko-marsland
  • 66 Slides

Volkan. Cevher. Laboratory. for Information and...

Stochastic

Stochastic

  • cheryl-pisano
  • 44 Slides

Galerkin. Methods and Software. Sandia National ...

Sampling from Gaussian Graphical Models via Spectral Sparsi

Sampling from Gaussian Graphical Models via Spectral Sparsi

  • briana-ranney
  • 40 Slides

Richard Peng. M.I.T.. Joint work with . Dehua. C...

Homelessness in

Homelessness in

  • olivia-moreira
  • 37 Slides

Placer County. Final Presentation of . Findings a...

Zhilin

Zhilin

  • marina-yarberry
  • 22 Slides

. Zhang, . Bhaskar. D. . Rao. University of Cal...

An Efficient Parallel Solver for SDD Linear Systems

An Efficient Parallel Solver for SDD Linear Systems

  • marina-yarberry
  • 39 Slides

Richard Peng. M.I.T.. Joint work with Dan Spielma...

Mike E. Davies

Mike E. Davies

  • danika-pritchard
  • 68 Slides

University . of Edinburgh – . Scotland. Remi. ...

Sampling in Graphs

Sampling in Graphs

  • mitsue-stanley
  • 33 Slides

Alexandr . Andoni. (Microsoft Research). Graph co...

Communication-Avoiding

Communication-Avoiding

  • aaron
  • 61 Slides

Iterative Methods. Erin Carson. UC Berkeley Paral...

Efficient Algorithms for Robust

Efficient Algorithms for Robust

  • tawny-fly
  • 57 Slides

One-bit Compressive . Sensing. 张利军. 南京...

Submodular

Submodular

  • lois-ondreau
  • 22 Slides

Dictionary Selection. for Sparse Representation....

Scaling Distributed Machine Learning with the Parameter Ser

Scaling Distributed Machine Learning with the Parameter Ser

  • stefany-barnette
  • 25 Slides

By M. Li, D. Anderson, J. Park, A. . Smola. , A. ...

Structured

Structured

  • natalia-silvester
  • 22 Slides

sparse acoustic modeling for speech separation. A...

Batch Estimation, Solving Sparse Linear Systems in Informat

Batch Estimation, Solving Sparse Linear Systems in Informat

  • jane-oiler
  • 37 Slides

June 12, 2017. Benjamin Skikos. Outline. Informat...

sparse codes from quantum circuits

sparse codes from quantum circuits

  • karlyn-bohler
  • 0 Slides

Dave . Bacon. Steve . Flammia. Aram Harrow. Jonat...

From High Definition Image to Low Space

From High Definition Image to Low Space

  • trish-goza
  • 0 Slides

Optimization. Micha . Feigin. , . Danny Feldman. ...

ScaleGraph: A High-Performance Library

ScaleGraph: A High-Performance Library

  • aaron
  • 0 Slides

for Billion-Scale Graph Analytics. Miraj Kheni. A...

Conserve Waterwise Landscaping

Conserve Waterwise Landscaping

  • test
  • 0 Slides

Purpose of Landscaping. Beauty. Utility. Conserva...

CS240A: Computation on Graphs

CS240A: Computation on Graphs

  • myesha-ticknor
  • 0 Slides

Graphs and Sparse Matrices . 1 . 1. ...

Handling blockage and mobility

Handling blockage and mobility

  • faustina-dinatale
  • 0 Slides

1. Grand Challenges for . mmWave. Networking. 2....

Logistic Regression & Elastic Net

Logistic Regression & Elastic Net

  • aaron
  • 0 Slides

Weifeng Li and . Hsinchun. Chen. Credits: Hui Zo...

Improving Vocabulary Skills

Improving Vocabulary Skills

  • olivia-moreira
  • 0 Slides

Chapter . Four. Matching words with definitions. ...

Part 2: An Analysis of Single-Layer Networks in Unsupervised Feature Learning

Part 2: An Analysis of Single-Layer Networks in Unsupervised Feature Learning

  • faustina-dinatale
  • 0 Slides

Adam Coates, . Honglak. Lee, Andrew Y. Ng. 2017/...

Conserve Waterwise Landscaping

Conserve Waterwise Landscaping

  • lois-ondreau
  • 0 Slides

Purpose of Landscaping. Beauty. Utility. Conserva...

Authors: Baiyang Liu, Lin Yang,

Authors: Baiyang Liu, Lin Yang,

  • mitsue-stanley
  • 0 Slides

Junzhou. Huang. , Peter Meer, . Leiguang. Gong ...

LINKS: L earning-based multi-source

LINKS: L earning-based multi-source

  • jane-oiler
  • 0 Slides

I. ntegratio. N. framewor. K. for . S. egmentat...

Sparsified Matrix Algorithms for Graph Laplacians

Sparsified Matrix Algorithms for Graph Laplacians

  • lois-ondreau
  • 0 Slides

Richard Peng. Georgia Tech. OUtline. (Structured)...

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