Optimization

Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach AISTATS 2022 Predictive variational Bayesian inference as risk-seeking optimization AISTATS 2022 Pretrained Cost Model for Distributed Constraint Optimization Problems AAAI 2022 Primal-Dual Stochastic Mirror Descent for MDPs AISTATS 2022 Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt ICML 2022 PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal Control L4DC 2022 Private Adaptive Optimization with Side information ICML 2022 Private Convex Optimization via Exponential Mechanism COLT 2022 Private Matrix Approximation and Geometry of Unitary Orbits COLT 2022 Private optimization in the interpolation regime: faster rates and hardness results ICML 2022 Private Rank Aggregation in Central and Local Models AAAI 2022 Private Robust Estimation by Stabilizing Convex Relaxations COLT 2022 Private Stochastic Convex Optimization and Sparse Learning with Heavy-tailed Data Revisited IJCAI 2022 Proactive slip control by learned slip model and trajectory adaptation CoRL 2022 Probabilistic Adaptive Spatial-Temporal Regularized Correlation Filters for UAV Tracking ACML 2022 Probabilistically Robust Learning: Balancing Average and Worst-case Performance ICML 2022 Probabilistic Bilevel Coreset Selection ICML 2022 Probing Script Knowledge from Pre-Trained Models EMNLP 2022 Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search WACV 2022 Project and Forget: Solving Large-Scale Metric Constrained Problems JMLR 2022 Projected Robust PCA with Application to Smooth Image Recovery JMLR 2022 Projective Manifold Gradient Layer for Deep Rotation Regression CVPR 2022 Proof of Learning: Towards a Practical Blockchain Consensus Mechanism Using Directed Guiding Gradients (Student Abstract) AAAI 2022 Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms NeurIPS 2022 Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients ICLR 2022