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Submissions from 2013

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Jointly Aligning and Segmenting Multiple Web Photo Streams for the Inference of Collective Photo Storylines, Gunhee Kim and Eric P. Xing

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Uncovering Structure in High-Dimensions: Networks and Multi-task Learning Problems, Mladen Kolar

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Markov Network Estimation From Multi-attribute Data, Mladen Kolar, Han Liu, and Eric P. Xing

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Recovering Graph-Structured Activations using Adaptive Compressive Measurements, Akshay Krishnamurthy, James Sharpnack, and Aarti Singh

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Low-Rank Matrix and Tensor Completion via Adaptive Sampling, Akshay Krishnamurthy and Aarti Singh

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Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models, Jayant Krishnamurthy and Tom Mitchell

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Probabilistic Models for Collecting, Analyzing, and Modeling Expression Data, Hai-Son Phuoc Le

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Discovering Student Models with a Clustering Algorithm Using Problem Content, Nan Li, William W. Cohen, and Kenneth R. Koedinger

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General and Efficient Cognitive Model Discovery Using a Simulated Student, Nan Li, Eliane Stampfer, William W. Cohen, and Kenneth R. Koedinger

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Integrating Perceptual Learning with External World Knowledge in a Simulated Student, Nan Li, Yuandong Tian, William W. Cohen, and Kenneth R. Koedinger

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Natural Language Models for Predicting Programming Comments, Dana Movshovitz-Attias and William W. Cohen

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Distribution to Distribution Regression, Junier B. Oliva, Barnabas Poczos, and Jeff Schneider

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Social Influences on Political Information Search and Evaluation, Douglas Pierce, David P. Redlawsk, and William W. Cohen

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Distribution-Free Distribution Regression, Barnabas Poczos, Alessandro Rinaldo, Aarti Singh, and Larry Wasserman

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Knowledge Graph Identification, Jay Pujara, Hui Miao, Lise Getoor, and William W. Cohen

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GINI: from ISH images to gene interaction networks., Kriti Puniyani and Eric P. Xing

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NP-MuScL: unsupervised global prediction of interaction networks from multiple data sources., Kriti Puniyani and Eric P. Xing

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Optimal rates for stochastic convex optimization under Tsybakov noise condition, Aaditya Ramdas and Aarti Singh

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An Adaptive Learning Rate for Stochastic Variational Inference, Rajesh Ranganath, Chong Wang, David M. Blei, and Eric P. Xing

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Scale Invariant Conditional Dependence Measures, Sashank J. Reddi and Barnabas Poczos

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Semi-Cooperative Learning in Smart Grid Agents, Prashant P. Reddy

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Graph Structured Normal Means Inference, James Sharpnack

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

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Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic, 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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Hierarchical Tensor Decomposition of Latent Tree Graphical Models, Le Song, Haesun Park, Mariya Ishteva, Ankur P. Parikh, and Eric P. Xing

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Short-Sighted Probabilistic Planning, Felipe W. Trevizan

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Variance Reduction for Stochastic Gradient Optimization, Chong Wang, Xi Chen, Alex Smola, and Eric P. Xing

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Block Regularized Lasso for Multivariate Multi-Response Linear Regression, Weiguang Wang, Yingbin Liang, and Eric P. Xing

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Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models, Sinead Williamson, Avinava Dubey, and Eric P. Xing

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Restricting exchangeable nonparametric distributions, Sinead Williamson, Steven N. MacEachern, and Eric P. Xing

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Integrating Document Clustering and Topic Modeling, Pengtao Xie and Eric P. Xing

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Multi-Modal Distance Metric Learning, Pengtao Xie and Eric P. Xing

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On Learning from Collective Data, Liang Xiong

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Efficient Learning on Point Sets, Liang Xiong, Barnabas Poczos, and Jeff Schneider

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A First Look at Creating Mock Catalogs with Machine Learning Techniques, Xiaoying Xu, Shirley Ho, Hy Trac, Jeff Schneider, Barnabas Poczos, and Michelle Ntampaka

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Cortical spatiotemporal plasticity in visual category learning, Yang Xu

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High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso, Makoto Yamada, Wittawat Jitkrittum, Leonid Sigal, Eric P. Xing, and Masashi Sugiyama

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Mathematical Theories of Interaction with Oracles, Liu Yang

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A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks, Junming Yin, Qirong Ho, and Eric P. Xing

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Individualized Bayesian Knowledge Tracing Models, Michael V. Yudelson, Kenneth R. Koedinger, and Geoffrey J. Gordon

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A projection algorithm for strictly monotone linear complementarity problems, Erik Zawadski, Geoffrey J. Gordon, and Andre Platzer

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Sparse Output Coding for Large-Scale Visual Recognition, Bin Zhou and Eric P. Xing

Submissions from 2012

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Subspace Detection of High-Dimensional Vectors using Compressing Sampling, Martin Azizyan and Aarti Singh

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Distributed Learning, Communication Complexity and Privacy, Maria-Florina Balcan, Avrim Blum, Shai Fine, and Yishay Mansour

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Finding Endogenously Formed Communities, Maria-Florina Balcan, Christian Borgs, Mark Braverman, Jennifer Chayes, and Shang-Hua Teng

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Learning Valuation Functions, Maria-Florina Balcan, Florin Constantin, Satoru Iwata, and Lei Wang

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Robust Interactive Learning, Maria-Florina Balcan and Steve Hanneke

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Spectral Approaches to Learning Predictive Representations, Byron Boots

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Two-Manifold Problems with Applications to Nonlinear System Identification, Byron Boots and Geoffrey J. Gordon

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Data Mining Meets HCI: Making Sense of Large Graphs, Dueng Horng Chau

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Smoothing proximal gradient method for general structured sparse regression, Xi Chen, Qihang Lin, Seyoung Kim, Jaime Carbonell, and Eric P. Xing

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Enhancing the usability and performance of structured association mapping algorithms using automation, parallelization, and visualization in the GenAMap software system., Ross E. Curtis, Anuj Goyal, and Eric P. Xing

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Enabling dynamic network analysis through visualization in TVNViewer., Ross E. Curtis, Jing Xiang, Ankur P. Parikh, Peter Kinnaird, and Eric P. Xing

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Finding genome-transcriptome-phenome association with structured association mapping and visualization in GenAMap., Ross E. Curtis, Junming Yin, Peter Kinnaird, and Eric P. Xing

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TopicViz: Interactive Topic Exploration in Document Collections, Jacob Eisenstein, Duen Horng Chau, Aniket Kittur, and Eric P. Xing

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Symmetric Correspondence Topic Models for Multilingual Text Analysis, Kosuke Fukumasu, Koji Eguchi, and Eric P. Xing

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Hierarchical Latent Dictionaries for Models of Brain Activation, Alona Fyshe, Emily Fox, David Dunson, and Tom Mitchell

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Lagrangian Relaxation for Large-Scale Multi-Agent Planning, Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hong Chuin Lao, Ajay S. Aravamudhan, and Shih-Fen Cheng

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Multiscale Community Blockmodel for Network Exploration., Qirong Ho, Ankur P. Parikh, and Eric P. Xing

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Understanding the Interaction between Interests, Conversations and Friendships in Facebook, Qirong Ho, Rong Yan, Rajat Raina, and Eric P. Xing

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On Triangular versus Edge Representations — Towards Scalable Modeling of Networks, Qirong Ho, Junming Yin, and Eric P. Xing

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Nonparametric Decentralized Detection Based on Weighted Count Kernel, Jiayao Hu, Yingbin Liang, and Eric P. Xing

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Monte Carlo Methods for Maximum Margin Supervised Topic Models, Qixia Jiang, Jun Zhu, Maosong Sun, and Eric P. Xing

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On Multiple Foreground Cosegmentation, Gunhee Kim and Eric P. Xing

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Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping, Seyoung Kim and Eric P. Xing

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Estimating networks with jumps., Mladen Kolar and Eric P. Xing

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Estimating Sparse Precision Matrices from Data with Missing Values, Mladen Kolar and Eric P. Xing

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

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Robust Multi-Source Network Tomography using Selective Probes, Akshay Krishnamurthy and Aarti Singh

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Weakly Supervised Training of Semantic Parsers, Jayant Krishnamurthy and Tom Mitchell

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Reading The Web with Learned Syntactic-Semantic Inference Rules, Ni Lao, Amarnag Subramanya, Fernando Pereira, and William W. Cohen

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Attribute Learning using Joint Human and Machine Computation, Edith L.M. Law

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Efficient Algorithm for Extremely Large Multi-task Regression with Massive Structured Sparsity, Seunghak Lee and Eric P. Xing

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Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs., Seunghak Lee and Eric P. Xing

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Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars, Nan Li, William W. Cohen, and Kenneth R. Koedinger

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Problem Order Implications for Learning Transfer, Nan Li, William W. Cohen, and Kenneth R. Koedinger

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Alternating Directions Dual Decomposition, Andre F.T. Martins, Mario A. T. Figeuiredo, Pedro M.Q. Aguiar, Noah A. Smith, and Eric P. Xing

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Bootstrapping Biomedical Ontologies for Scientific Text using NELL, Dana Movshovitz-Attias and William W. Cohen

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A Spectral Algorithm for Latent Junction Trees, Ankur P. Parikh, Le Song, Mariya Ishteva, Gabi Teodoru, and Eric P. Xing

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Copula-based Kernel Dependency Measures, Barnabas Poczos, Zoubin Ghahramani, and Jeff Schneider

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Conditional Distance Variance and Correlation, Barnabas Poczos and Jeff Schneider

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Nonparametric Estimation of Conditional Information and Divergences, Barnabas Poczos and Jeff Schneider

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Nonparametric Kernel Estimators for Image Classification, Barnabas Poczos, Liang Xiong, Dougal J. Sutherland, and Jeff Schneider

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Support Distribution Machines, Barnabas Poczos, Liang Xiong, Dougal J. Sutherland, and Jeff Schneider

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

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

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Statistical Methods for studying Genetic Variation in Populations, Suyash Shringarpure

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Robust estimation of local genetic ancestry in admixed populations using a nonparametric Bayesian approach., Kyung-Ah Sohn, Zoubin Ghahramani, and Eric P. Xing

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Collaborative Filtering via Group-Structured Dictionary Learning, Zoltan Szabo, Barnabas Poczos, and Andras Lorincz

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Group Sparse Additive Models, Junming Yin, Xi Chen, and Eric P. Xing

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Learning with Limited Supervision by Input and Output Coding, Yi Zhang

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MedLDA: Maximum Margin Supervised Topic Models, Jun Zhu, Amr Ahmed, and Eric P. Xing

Submissions from 2011

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Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text, Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alex Smola, and Eric P. Xing

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

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What pushes their buttons? Predicting comment polarity from the content of political blog posts, Ramnath Balasubramanyan, William W. Cohen, Douglas Pierce, and David P. Redlawsk

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Online Spectral Identification of Dynamical Systems, Byron Boots and Geoffrey J. Gordon

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Smoothing Proximal Gradient Method for General Structured Sparse Learning, Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, and Eric P. Xing

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Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions, Min Chi, Kenneth R. Koedinger, Geoffrey J. Gordon, Pamela Jordon, and Kurt VanLahn

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GenAMap: Visualization Strategies for Structured Association Mapping, Ross E. Curtis, Peter Kinnaird, and Eric P. Xing