Optimization

Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits ICML 2022 Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport NeurIPS 2022 Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health AAAI 2022 Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation JMLR 2022 Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum ICML 2022 Adaptively Partitioning Max-Affine Estimators for Convex Regression AISTATS 2022 Adaptive Model Design for Markov Decision Process ICML 2022 Adaptive Orthogonal Projection for Batch and Online Continual Learning AAAI 2022 Adaptive Random Walk Gradient Descent for Decentralized Optimization ICML 2022 Adaptive Second Order Coresets for Data-efficient Machine Learning ICML 2022 Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization NeurIPS 2022 AdaSTE: An Adaptive Straight-Through Estimator To Train Binary Neural Networks CVPR 2022 AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems ICML 2022 Additive Gaussian Processes Revisited ICML 2022 Adiabatic Quantum Computing for Multi Object Tracking CVPR 2022 A Difference Standardization Method for Mutual Transfer Learning ICML 2022 A Differentiable Two-Stage Alignment Scheme for Burst Image Reconstruction With Large Shift CVPR 2022 A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs AAAI 2022 A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems AAAI 2022 Admissible Policy Teaching through Reward Design AAAI 2022 A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization AISTATS 2022 Advancing Model Pruning via Bi-level Optimization NeurIPS 2022 Adversarial Classification: Necessary Conditions and Geometric Flows JMLR 2022 Adversarial Eigen Attack on Black-Box Models CVPR 2022 Adversarially Robust Kernel Smoothing AISTATS 2022