robust estimation

No-Regret Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2021 On Proximal Policy Optimization’s Heavy-tailed Gradients ICML 2021 On Robust Mean Estimation under Coordinate-level Corruption ICML 2021 Robust and differentially private mean estimation NeurIPS 2021 Robustifying Algorithms of Learning Latent Trees with Vector Variables NeurIPS 2021 Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers AISTATS 2021 SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples ICML 2021 VSAC: Efficient and Accurate Estimator for H and F ICCV 2021 When OT meets MoM: Robust estimation of Wasserstein Distance AISTATS 2021 A Fast Spectral Algorithm for Mean Estimation with Sub-Gaussian Rates COLT 2020 A Graduated Filter Method for Large Scale Robust Estimation CVPR 2020 Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning NeurIPS 2020 Conic Optimization for Quadratic Regression Under Sparse Noise JMLR 2020 CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus CVPR 2020 Cooperative Multi-Agent Bandits with Heavy Tails ICML 2020 Distributionally Robust Parametric Maximum Likelihood Estimation NeurIPS 2020 Estimating Principal Components under Adversarial Perturbations COLT 2020 Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective JMLR 2020 Ivy: Instrumental Variable Synthesis for Causal Inference AISTATS 2020 Learning Entangled Single-Sample Distributions via Iterative Trimming AISTATS 2020 Learning Structured Distributions From Untrusted Batches: Faster and Simpler NeurIPS 2020 List Decodable Subspace Recovery COLT 2020 MAGSAC++, a Fast, Reliable and Accurate Robust Estimator CVPR 2020 Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery NeurIPS 2020 On Learning Ising Models under Huber's Contamination Model NeurIPS 2020