Probability

Computing the Stationary Distribution Locally NeurIPS 2013 Fast Determinantal Point Process Sampling with Application to Clustering NeurIPS 2013 How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal NeurIPS 2013 Locally Adaptive Bayesian Multivariate Time Series NeurIPS 2013 Modeling Information Propagation with Survival Theory ICML 2013 Predictive PAC Learning and Process Decompositions NeurIPS 2013 Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NeurIPS 2013 Solving inverse problem of Markov chain with partial observations NeurIPS 2013 Statistical Active Learning Algorithms NeurIPS 2013 An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling AISTATS 2012 Bayesian nonparametric models for bipartite graphs NeurIPS 2012 Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing NeurIPS 2012 Competitive Classification and Closeness Testing COLT 2012 Controlling Selection Bias in Causal Inference AISTATS 2012 Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model NeurIPS 2012 Entangled Monte Carlo NeurIPS 2012 Exponential Concentration for Mutual Information Estimation with Application to Forests NeurIPS 2012 Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NeurIPS 2012 Learning with Partially Absorbing Random Walks NeurIPS 2012 MCMC for continuous-time discrete-state systems NeurIPS 2012 Mixability in Statistical Learning NeurIPS 2012 Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NeurIPS 2012 Modelling Reciprocating Relationships with Hawkes Processes NeurIPS 2012 Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NeurIPS 2012 On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems AISTATS 2012