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Theory

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Papers

Predictive PAC Learning and Process Decompositions NeurIPS 2013 Projecting Ising Model Parameters for Fast Mixing NeurIPS 2013 Rectangling Stereographic Projection for Wide-Angle Image Visualization ICCV 2013 Regret based Robust Solutions for Uncertain Markov Decision Processes NeurIPS 2013 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NeurIPS 2013 Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel NeurIPS 2013 Robust Low Rank Kernel Embeddings of Multivariate Distributions NeurIPS 2013 Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NeurIPS 2013 Sharp Generalization Error Bounds for Randomly-projected Classifiers ICML 2013 Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes ICML 2013 The Fast Convergence of Incremental PCA NeurIPS 2013 The Sample-Complexity of General Reinforcement Learning ICML 2013 Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds CVPR 2013 Transition Matrix Estimation in High Dimensional Time Series ICML 2013 Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration ICCV 2013 Understanding variable importances in forests of randomized trees NeurIPS 2013 Unsupervised Spectral Learning of Finite State Transducers NeurIPS 2013 When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NeurIPS 2013 Active Learning of Multi-Index Function Models NeurIPS 2012 A Geometric Approach to Sample Compression JMLR 2012 Algebraic Geometric Comparison of Probability Distributions JMLR 2012 A new metric on the manifold of kernel matrices with application to matrix geometric means NeurIPS 2012 A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound NeurIPS 2012 Attribute-Efficient Learning andWeight-Degree Tradeoffs for Polynomial Threshold Functions COLT 2012 Classification Calibration Dimension for General Multiclass Losses NeurIPS 2012