Optimization

Optimizing Conditional Value-At-Risk of Black-Box Functions NeurIPS 2021 Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning ICLR 2021 Optimizing Optimizers: Regret-optimal gradient descent algorithms COLT 2021 Optimizing Percentile Criterion using Robust MDPs AISTATS 2021 Optimizing persistent homology based functions ICML 2021 Oracle Complexity in Nonsmooth Nonconvex Optimization NeurIPS 2021 Orthogonalizing Convolutional Layers with the Cayley Transform ICLR 2021 Orthogonal Over-Parameterized Training CVPR 2021 OTA: Optimal Transport Assignment for Object Detection CVPR 2021 OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport AAAI 2021 Out-of-Distribution Generalization via Risk Extrapolation (REx) ICML 2021 Outside the Echo Chamber: Optimizing the Performative Risk ICML 2021 Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima NeurIPS 2021 Overcoming the Convex Barrier for Simplex Inputs NeurIPS 2021 Overlapping Spaces for Compact Graph Representations NeurIPS 2021 OzoMorph: Demonstrating Colored Multi-Agent Path Finding on Real Robots AAAI 2021 P3: Distributed Deep Graph Learning at Scale OSDI 2021 PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization ICML 2021 Parallel and Efficient Hierarchical k-Median Clustering NeurIPS 2021 Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement NeurIPS 2021 Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning ICML 2021 Parallelised Diffeomorphic Sampling-based Motion Planning CoRL 2021 Parallel Rectangle Flip Attack: A Query-Based Black-Box Attack Against Object Detection ICCV 2021 Parameter-Based Value Functions ICLR 2021 Parameter-free Locally Accelerated Conditional Gradients ICML 2021