Mathematics & Optimization

Adaptive Annealing for Robust Geometric Estimation CVPR 2023 Adaptive Cholesky Gaussian Processes AISTATS 2023 Adaptive Clustering Using Kernel Density Estimators JMLR 2023 Adaptive Conformal Prediction for Motion Planning among Dynamic Agents L4DC 2023 Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract) AAAI 2023 Adaptive Data Depth via Multi-Armed Bandits JMLR 2023 Adaptive Data-Free Quantization CVPR 2023 Adaptive Estimation of Graphical Models under Total Positivity ICML 2023 Adaptive False Discovery Rate Control with Privacy Guarantee JMLR 2023 Adaptive Linear Estimating Equations NeurIPS 2023 Adaptive Power Method: Eigenvector Estimation from Sampled Data ALT 2023 Adaptive Regret for Control of Time-Varying Dynamics L4DC 2023 Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting ACML 2023 Adaptive Selective Sampling for Online Prediction with Experts NeurIPS 2023 Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction NeurIPS 2023 Adaptive Tuning for Metropolis Adjusted Langevin Trajectories AISTATS 2023 Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm ICML 2023 A Deep Conjugate Direction Method for Iteratively Solving Linear Systems ICML 2023 A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability NeurIPS 2023 A Distribution Optimization Framework for Confidence Bounds of Risk Measures ICML 2023 Adversarial Attacks on Online Learning to Rank with Click Feedback NeurIPS 2023 Adversarial Contention Resolution Games IJCAI 2023 Adversarially Robust Distributed Count Tracking via Partial Differential Privacy NeurIPS 2023 Adversarial Resilience in Sequential Prediction via Abstention NeurIPS 2023 Advice Querying under Budget Constraint for Online Algorithms NeurIPS 2023