parameter recovery

Fast algorithms for learning a Gaussian under halfspace truncation with optimal sample complexity COLT 2026 A Short Information-Theoretic Analysis of Linear Auto-Regressive Learning L4DC 2025 Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks ICLR 2025 Algorithms for learning a mixture of linear classifiers ALT 2022 Learning from Stochastically Revealed Preference NeurIPS 2022 ReLU Regression with Massart Noise NeurIPS 2021 Learning in Gated Neural Networks AISTATS 2020 Learning Two-layer Neural Networks with Symmetric Inputs ICLR 2019 On the Dynamics of Gradient Descent for Autoencoders AISTATS 2019 Stability of Linear Structural Equation Models of Causal Inference UAI 2019 The Impact of Regularization on High-dimensional Logistic Regression NeurIPS 2019 Sparse Parameter Recovery from Aggregated Data ICML 2016 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012