Artificial Intelligence

Occlusion Geodesics for Online Multi-Object Tracking CVPR 2014 On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014 On Estimating Causal Effects based on Supplemental Variables AISTATS 2014 Online Bayesian Passive-Aggressive Learning ICML 2014 Online Decision-Making in General Combinatorial Spaces NeurIPS 2014 Online Object Tracking, Learning and Parsing with And-Or Graphs CVPR 2014 Online Trajectory Planning in Dynamic Environments for Surgical Task Automation RSS 2014 On Multiplicative Multitask Feature Learning NeurIPS 2014 On Prior Distributions and Approximate Inference for Structured Variables NeurIPS 2014 On Sparse Gaussian Chain Graph Models NeurIPS 2014 On the convergence of no-regret learning in selfish routing ICML 2014 On the Number of Linear Regions of Deep Neural Networks NeurIPS 2014 On the Testability of Models with Missing Data AISTATS 2014 Optimal decision-making with time-varying evidence reliability NeurIPS 2014 Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014 Optimal Neural Codes for Control and Estimation NeurIPS 2014 Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014 Optimal prior-dependent neural population codes under shared input noise NeurIPS 2014 Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers NeurIPS 2014 Optimistic Planning in Markov Decision Processes Using a Generative Model NeurIPS 2014 Optimizing Energy Production Using Policy Search and Predictive State Representations NeurIPS 2014 Order-Independent Constraint-Based Causal Structure Learning JMLR 2014 PAC-Bayesian AUC classification and scoring NeurIPS 2014 PAC-Bayesian Theory for Transductive Learning AISTATS 2014 Parallel MCMC with Generalized Elliptical Slice Sampling JMLR 2014