Mathematics & Optimization

Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing NeurIPS 2012 Coherence Functions with Applications in Large-Margin Classification Methods JMLR 2012 Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NeurIPS 2012 Communication-Efficient Algorithms for Statistical Optimization NeurIPS 2012 Competitive Classification and Closeness Testing COLT 2012 Complexity of Bethe Approximation AISTATS 2012 Compressive Sensing MRI with Wavelet Tree Sparsity NeurIPS 2012 Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection JMLR 2012 Conditional Validity of Inductive Conformal Predictors ACML 2012 Confusion-Based Online Learning and a Passive-Aggressive Scheme NeurIPS 2012 Consistent Model Selection Criteria on High Dimensions JMLR 2012 Continuous Relaxations for Discrete Hamiltonian Monte Carlo NeurIPS 2012 Controlling Selection Bias in Causal Inference AISTATS 2012 Convergence and Energy Landscape for Cheeger Cut Clustering NeurIPS 2012 Convergence Rate Analysis of MAP Coordinate Minimization Algorithms NeurIPS 2012 Convex Multi-view Subspace Learning NeurIPS 2012 CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NeurIPS 2012 Data dependent kernels in nearly-linear time AISTATS 2012 DEAP: Evolutionary Algorithms Made Easy JMLR 2012 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Detecting Network Cliques with Radon Basis Pursuit AISTATS 2012 Deterministic Annealing for Semi-Supervised Structured Output Learning AISTATS 2012 Dimensionality Dependent PAC-Bayes Margin Bound NeurIPS 2012 Discriminative Mixtures of Sparse Latent Fields for Risk Management AISTATS 2012 Distance Metric Learning with Eigenvalue Optimization JMLR 2012