Most Recent Additions

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Consistent Bounded-Asynchronous Parameter Servers for Distributed ML
Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, and Eric P. Xing

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Detecting Weak but Hierarchically-Structured Patterns in Networks
Aarti Singh, Robert Nowak, and Robert Calderbank

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Multi-Manifold Semi-Supervised Learning
Andrew B. Goldberg, Xiaojin Zhu, Aarti Singh, Zhiting Xu, and Robert Nowak

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LightLDA: Big Topic Models on Modest Compute Clusters
Jinhui Yuan, Fei Gao, Quirong Ho, Jinliang Wei, Xun Zheng, Eric P. Xing, Tie-Yan Liu, and Wei-Ying Ma

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Model-Parallel Inference for Big Topic Models
Xun Zheng, Jin Kyu Kim, Qirong Ho, and Eric P. Xing

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Screening Rules for Overlapping Group Lasso
Seunghak Lee and Eric P. Xing

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Large Scale Distributed Multiclass Logistic Regression
Pengtao Xie, Jin Kyu Kim, and Eric P. Xing

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Petuum: A Framework for Iterative-Convergent Distributed ML
Wei Dai, Jinliang Wei, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, and Eric P. Xing

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Mayor's Institute on City Design Midwest Session Meeting Summary
Donald K. Carter, Christine Brill, John Folan, and Elise Gatti

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Detecting Activations over Graphs using Spanning Tree Wavelet Bases
James Sharpnack, Akshay Krishnamurthy, and Aarti Singh

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Changepoint Detection over Graphs with the Spectral Scan Statistic
James Sharpnack, Alessandro Rinaldo, and Aarti Singh

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Efficient Active Algorithms for Hierarchical Clustering
Akshay Krishnamurthy, Sivaraman Balakrishnan, Min Xu, and Aarti Singh

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Sparsistency of the Edge Lasso over Graphs
James Sharpnack, Alessandro Rinaldo, and Aarti Singh

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Stability of Density-Based Clustering
Alessandro Rinaldo, Aarti Singh, Rebecca Nugent, and Larry Wasserman

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Noise Thresholds for Spectral Clustering
Sivaraman Balakrishnan, Min Xu, Akshay Krishnamurthy, and Aarti Singh

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Minimax Localization of Structural Information in Large Noisy Matrices
Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo, and Aarti Singh

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Feature Selection For High-Dimensional Clustering
Martin Azizyan, Aarti Singh, and Larry Wasserman

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Recovering Block-structured Activations Using Compressive Measurements
Sivaraman Balakrishnan, Mladen Kolar, Alessandro Rinaldo, and Aarti Singh

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Subspace Learning from Extremely Compressed Measurements
Akshay Krishnamurthy, Martin Azizyan, and Aarti Singh

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Confidence Sets for Persistence Diagrams
Brittany Therese Fasy, Fabrizio Lecci, Alessandro Rinaldo, Larry Wasserman, Sivaraman Balakrishnan, and Aarti Singh

*Updated as of 03/28/15.