Mathematics & Optimization

Auto-Tuning Structured Light by Optical Stochastic Gradient Descent CVPR 2020 A Variable Rolling SLIP Model for a Conceptual Leg Shape to Increase Robustness of Uncertain Velocity on Unknown Terrain RSS 2020 Averaging Essential and Fundamental Matrices in Collinear Camera Settings CVPR 2020 Axioms for Learning from Pairwise Comparisons NeurIPS 2020 Balancing Gaussian vectors in high dimension COLT 2020 Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours AAAI 2020 Bandit Convex Optimization in Non-stationary Environments AISTATS 2020 Bandit Linear Control NeurIPS 2020 Bandit optimisation of functions in the Matérn kernel RKHS AISTATS 2020 Bandits with Adversarial Scaling ICML 2020 Batch Stationary Distribution Estimation ICML 2020 Batchy: Batch-scheduling Data Flow Graphs with Service-level Objectives NSDI 2020 Baxter Permutation Process NeurIPS 2020 Bayesian experimental design using regularized determinantal point processes AISTATS 2020 Bayesian Model Selection with Graph Structured Sparsity JMLR 2020 Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract) AAAI 2020 Bayesian Optimisation over Multiple Continuous and Categorical Inputs ICML 2020 Bayesian Optimization for Categorical and Category-Specific Continuous Inputs AAAI 2020 Bayesian Optimization of Risk Measures NeurIPS 2020 Bayesian Optimization using Pseudo-Points IJCAI 2020 Bayesian Probabilistic Numerical Integration with Tree-Based Models NeurIPS 2020 Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy AAAI 2020 Belief Propagation Neural Networks NeurIPS 2020 Bessel Smoothing and Multi-Distribution Property Estimation COLT 2020 Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting ICML 2020