parameter estimation

Robust learning of tractable probabilistic models UAI 2022 Scale-invariant Learning by Physics Inversion NeurIPS 2022 SIXO: Smoothing Inference with Twisted Objectives NeurIPS 2022 Time Varying Regression with Hidden Linear Dynamics L4DC 2022 Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs L4DC 2021 A Computationally Efficient Method for Learning Exponential Family Distributions NeurIPS 2021 Deterministic Finite-Memory Bias Estimation COLT 2021 Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements ICCV 2021 Learning to Select Exogenous Events for Marked Temporal Point Process NeurIPS 2021 Method of Moments for Topic Models with Mixed Discrete and Continuous Features IJCAI 2021 On Estimation in Latent Variable Models ICML 2021 Online stochastic gradient descent on non-convex losses from high-dimensional inference JMLR 2021 On Variational Inference in Biclustering Models ICML 2021 Optimality of variational inference for stochasticblock model with missing links NeurIPS 2021 Outlier Impact Characterization for Time Series Data AAAI 2021 Source Identification for Mixtures of Product Distributions COLT 2021 Statistical Estimation from Dependent Data ICML 2021 The neural moving average model for scalable variational inference of state space models UAI 2021 Active Learning for Identification of Linear Dynamical Systems COLT 2020 Cloth in the Wind: A Case Study of Physical Measurement Through Simulation CVPR 2020 Comparison of Glottal Source Parameter Values in Emotional Vowels Interspeech 2020 Co-Occurrence Estimation from Aggregated Data with Auxiliary Information AAAI 2020 Discriminative Method to Extract Coarse Prosodic Structure and its Application for Statistical Phrase/Accent Command Estimation Interspeech 2020 Efficient Parameter Estimation of Truncated Boolean Product Distributions COLT 2020 EM Converges for a Mixture of Many Linear Regressions AISTATS 2020