Statistical Learning

Hardness of Learning Neural Networks under the Manifold Hypothesis NeurIPS 2024 Harnessing Multiple Correlated Networks for Exact Community Recovery NeurIPS 2024 HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NeurIPS 2024 Hidden yet quantifiable: A lower bound for confounding strength using randomized trials AISTATS 2024 High-dimensional (Group) Adversarial Training in Linear Regression NeurIPS 2024 How Consistent are Speech-Based Biomarkers in Remote Tracking of ALS Disease Progression Across Languages? A Case Study of English and Dutch Interspeech 2024 How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression? ICLR 2024 How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs? EMNLP 2024 How safe am I given what I see? Calibrated prediction of safety chances for image-controlled autonomy L4DC 2024 How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NeurIPS 2024 How to Evaluate Behavioral Models AAAI 2024 HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation CVPR 2024 Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood AAAI 2024 Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024 Identifiability of Direct Effects from Summary Causal Graphs AAAI 2024 Identifiable Latent Polynomial Causal Models through the Lens of Change ICLR 2024 Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments NeurIPS 2024 Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees NeurIPS 2024 Identifying Causal Effects Under Functional Dependencies NeurIPS 2024 Identifying Confounding from Causal Mechanism Shifts AISTATS 2024 Implicit Regularization Paths of Weighted Neural Representations NeurIPS 2024 Improved algorithm and bounds for successive projection ICLR 2024 Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model ICLR 2024 Improved Hardness Results for Learning Intersections of Halfspaces COLT 2024 Improved Regret of Linear Ensemble Sampling NeurIPS 2024