Optimization

Custom-Design of FDR Encodings: The Case of Red-Black Planning IJCAI 2021 Cutting to the Core of Pseudo-Boolean Optimization: Combining Core-Guided Search with Cutting Planes Reasoning AAAI 2021 DACBench: A Benchmark Library for Dynamic Algorithm Configuration IJCAI 2021 Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization NeurIPS 2021 DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits AAAI 2021 DARTS-: Robustly Stepping out of Performance Collapse Without Indicators ICLR 2021 Dash: Semi-Supervised Learning with Dynamic Thresholding ICML 2021 Data Augmentation for Text Generation Without Any Augmented Data ACL 2021 Data-Driven Controller Design via Finite-Horizon Dissipativity L4DC 2021 Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling IJCAI 2021 Data-Driven Multimodal Patrol Planning for Anti-poaching AAAI 2021 Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps ICML 2021 Data-Driven Reachability Analysis Using Matrix Zonotopes L4DC 2021 Dataset Condensation with Gradient Matching ICLR 2021 Dataset Distillation with Infinitely Wide Convolutional Networks NeurIPS 2021 Dataset Dynamics via Gradient Flows in Probability Space ICML 2021 Data Sharing and Compression for Cooperative Networked Control NeurIPS 2021 DC3: A learning method for optimization with hard constraints ICLR 2021 DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation CVPR 2021 DDPNOpt: Differential Dynamic Programming Neural Optimizer ICLR 2021 Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification NeurIPS 2021 Debiasing a First-order Heuristic for Approximate Bi-level Optimization ICML 2021 Debiasing Evaluations That Are Biased by Evaluations AAAI 2021 DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training ICCV 2021 Decentralized Multi-Agent Linear Bandits with Safety Constraints AAAI 2021