Foundations

Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NeurIPS 2012 Computational Bounds on Statistical Query Learning COLT 2012 CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NeurIPS 2012 DEAP: Evolutionary Algorithms Made Easy JMLR 2012 Efficient Sampling for Bipartite Matching Problems NeurIPS 2012 Entropy Estimations Using Correlated Symmetric Stable Random Projections NeurIPS 2012 Extrinsic Calibration from Per-Sensor Egomotion RSS 2012 Fast Resampling Weighted v-Statistics NeurIPS 2012 Feature Clustering for Accelerating Parallel Coordinate Descent NeurIPS 2012 Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NeurIPS 2012 Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NeurIPS 2012 Learning and Model-Checking Networks of I/O Automata ACML 2012 Learning Functions of Halfspaces Using Prefix Covers COLT 2012 Link Prediction in Graphs with Autoregressive Features NeurIPS 2012 Multiresolution analysis on the symmetric group NeurIPS 2012 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NeurIPS 2012 One Permutation Hashing NeurIPS 2012 On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NeurIPS 2012 Perceptron Learning of SAT NeurIPS 2012 Query Complexity of Derivative-Free Optimization NeurIPS 2012 Scalable nonconvex inexact proximal splitting NeurIPS 2012 Sketch-Based Linear Value Function Approximation NeurIPS 2012 Spectral Learning of General Weighted Automata via Constrained Matrix Completion NeurIPS 2012 Super-Bit Locality-Sensitive Hashing NeurIPS 2012 Tight Bounds on Proper Equivalence Query Learning of DNF COLT 2012