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Papers (including subtopics)

Neural Manifold Ordinary Differential Equations NeurIPS 2020 Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks ICML 2020 Neutralizing Self-Selection Bias in Sampling for Sortition NeurIPS 2020 New Oracle-Efficient Algorithms for Private Synthetic Data Release ICML 2020 NH-TTC: A gradient-based framework for generalized anticipatory collision avoidance RSS 2020 Nice Invincible Strategy for the Average-Payoff IPD AAAI 2020 Noise-Contrastive Estimation for Multivariate Point Processes NeurIPS 2020 Nonlinear Model Predictive Control of Robotic Systems with Control Lyapunov Functions RSS 2020 Nonlinear System Identification via Tensor Completion AAAI 2020 Non-monotone DR-submodular Maximization over General Convex Sets IJCAI 2020 Non-revisiting Coverage Task with Minimal Discontinuities for Non-redundant Manipulators RSS 2020 Non-Rigid Structure from Motion: Prior-Free Factorization Method Revisited WACV 2020 Non-Stochastic Control with Bandit Feedback NeurIPS 2020 No-regret Learning in Price Competitions under Consumer Reference Effects NeurIPS 2020 No-Regret Prediction in Marginally Stable Systems COLT 2020 NuCDS: An Efficient Local Search Algorithm for Minimum Connected Dominating Set IJCAI 2020 Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning NeurIPS 2020 Observe Before Play: Multi-Armed Bandit with Pre-Observations AAAI 2020 OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression CVPR 2020 ODE-Inspired Analysis for the Biological Version of Oja’s Rule in Solving Streaming PCA COLT 2020 ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems AAAI 2020 ODSS: Efficient Hybridization for Optimal Coalition Structure Generation AAAI 2020 On Adaptivity in Information-Constrained Online Learning AAAI 2020 On Approximate Thompson Sampling with Langevin Algorithms ICML 2020 On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent ICML 2020