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Papers (including subtopics)

Coresets for Decision Trees of Signals NeurIPS 2021 Corralling Stochastic Bandit Algorithms AISTATS 2021 Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems AAAI 2021 Corruption-robust exploration in episodic reinforcement learning COLT 2021 Cortical Surface Shape Analysis Based on Alexandrov Polyhedra ICCV 2021 Cost-aware Graph Generation: A Deep Bayesian Optimization Approach AAAI 2021 Cost-effective Cloud Edge Traffic Engineering with Cascara NSDI 2021 Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR IJCAI 2021 Counting Maximal Satisfiable Subsets AAAI 2021 Couplings for Multinomial Hamiltonian Monte Carlo AISTATS 2021 Coupon Design in Advertising Systems AAAI 2021 Crossing Cuts Polygonal Puzzles: Models and Solvers CVPR 2021 Crystallization Learning with the Delaunay Triangulation ICML 2021 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 CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices AISTATS 2021 DAGs with No Curl: An Efficient DAG Structure Learning Approach ICML 2021 DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits AAAI 2021 Data-driven Competitive Algorithms for Online Knapsack and Set Cover AAAI 2021 Data-Driven Controller Design via Finite-Horizon Dissipativity L4DC 2021 Data-driven design of switching reference governors for brake-by-wire applications L4DC 2021 Data-Driven Multimodal Patrol Planning for Anti-poaching AAAI 2021 Data-Driven System Level Synthesis L4DC 2021 Debiasing Evaluations That Are Biased by Evaluations AAAI 2021 DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training ICCV 2021