Skip to content
conftrace_

Papers (including subtopics)

Counterfactual Programming for Optimal Control L4DC 2020 Covariance-adapting algorithm for semi-bandits with application to sparse outcomes COLT 2020 Cross-Lingual Dependency Parsing by POS-Guided Word Reordering EMNLP 2020 Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality NeurIPS 2020 Customizing ML Predictions for Online Algorithms ICML 2020 DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks NeurIPS 2020 Data-Driven Distributed Predictive Control via Network Optimization L4DC 2020 Data-driven distributionally robust LQR with multiplicative noise L4DC 2020 DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate AISTATS 2020 Ddo, a Generic and Efficient Framework for MDD-Based Optimization IJCAI 2020 Debiased Sinkhorn barycenters ICML 2020 Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization NeurIPS 2020 Decentralized Accelerated Proximal Gradient Descent NeurIPS 2020 Decentralized Multi-player Multi-armed Bandits with No Collision Information AISTATS 2020 Deciding Acceptance in Incomplete Argumentation Frameworks AAAI 2020 Decisions, Counterfactual Explanations and Strategic Behavior NeurIPS 2020 DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers CVPR 2020 Deep Implicit Volume Compression CVPR 2020 Deep Learning—Powered Iterative Combinatorial Auctions AAAI 2020 Deep Learning Tubes for Tube MPC RSS 2020 Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization AAAI 2020 Deep Statistical Solvers NeurIPS 2020 Deep Variational Instance Segmentation NeurIPS 2020 Defending with Shared Resources on a Network AAAI 2020 Delay-Adaptive Distributed Stochastic Optimization AAAI 2020