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Papers (including subtopics)

Optimal Rates for Random Order Online Optimization NeurIPS 2021 Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization ICML 2021 Optimal Sketching for Trace Estimation NeurIPS 2021 Optimal Streaming Algorithms for Multi-Armed Bandits ICML 2021 Optimal Thompson Sampling strategies for support-aware CVaR bandits ICML 2021 Optimal Transport for Deep Generative Models: State of the Art and Research Challenges IJCAI 2021 Optimal Underdamped Langevin MCMC Method NeurIPS 2021 Optimising Automatic Calibration of Electric Muscle Stimulation AAAI 2021 Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives JMLR 2021 Optimized auxiliary particle filters: adapting mixture proposals via convex optimization UAI 2021 Optimizing Optimizers: Regret-optimal gradient descent algorithms COLT 2021 Optimizing persistent homology based functions ICML 2021 Optimizing Storage Performance with Calibrated Interrupts OSDI 2021 Oracle Complexity in Nonsmooth Nonconvex Optimization NeurIPS 2021 Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization AAAI 2021 Orthogonal Over-Parameterized Training CVPR 2021 OTA: Optimal Transport Assignment for Object Detection CVPR 2021 OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations CVPR 2021 Outlier-Robust Optimal Transport ICML 2021 Out-of-Core Surface Reconstruction via Global TGV Minimization ICCV 2021 Outside Computation with Superior Functions NAACL 2021 P3: Distributed Deep Graph Learning at Scale OSDI 2021 PAPRIKA: Private Online False Discovery Rate Control ICML 2021 Parallelizing Thompson Sampling NeurIPS 2021 Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data IJCAI 2021