arXiv Statistics @arxiv_stats@qoto.org

Transcendental Regularization of Finite Mixtures:Theoretical Guarantees and Practical Limitations https://arxiv.org/abs/2602.03889 #stat.ML #cs.LG

A Hitchhiker's Guide to Poisson Gradient Estimation https://arxiv.org/abs/2602.03896 #q-bio.NC #stat.ML #cs.LG

Byzantine Machine Learning: MultiKrum and an optimal notion of robustness https://arxiv.org/abs/2602.03899 #stat.ML #math.OC #math.ST #stat.TH #cs.AI #cs.LG

Privacy utility trade offs for parameter estimation in degree heterogeneous higher order networks https://arxiv.org/abs/2602.03948 #stat.ML #math.ST #stat.TH #cs.CR #cs.LG #cs.SI

Learning Multi-type heterogeneous interacting particle systems https://arxiv.org/abs/2602.03954 #stat.ML #stat.CO #stat.ME #cs.LG

Statistical Guarantees for Reasoning Probes on Looped Boolean Circuits https://arxiv.org/abs/2602.03970 #stat.ML #math.MG #math.ST #stat.TH #cs.LG #cs.NE

Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors https://arxiv.org/abs/2602.03972 #stat.ML #cs.AI #cs.LG

Doubly-Robust Bayesian Estimation of Optimal Individualized Treatment Rules using Network Meta-Analysis https://arxiv.org/abs/2602.03985 #stat.ME #stat.AP

Robust Nonparametric Two-Sample Tests via Mutual Information using Extended Bregman Divergence https://arxiv.org/abs/2602.04010 #stat.ME

Efficient Subgroup Analysis via Optimal Trees with Global Parameter Fusion https://arxiv.org/abs/2602.04077 #stat.ML #cs.LG

Varying coefficient model for longitudinal data with informative observation times https://arxiv.org/abs/2601.17141 #stat.ME

Optimal Design under Interference, Homophily, and Robustness Trade-offs https://arxiv.org/abs/2601.17145 #stat.ME #math.ST #stat.TH

Falsifying Predictive Algorithm https://arxiv.org/abs/2601.17146 #stat.ME #stat.ML #cs.CY #cs.LG

Evaluating Aggregated Relational Data Models with Simple Diagnostics https://arxiv.org/abs/2601.17153 #stat.ME #stat.AP

Data-Driven Information-Theoretic Causal Bounds under Unmeasured Confounding https://arxiv.org/abs/2601.17160 #stat.ML #stat.ME #cs.AI #cs.LG

Bayesian Inference for Discrete Markov Random Fields Through Coordinate Rescaling https://arxiv.org/abs/2601.17205 #stat.ME

Transfer learning for scalar-on-function regression via control variates https://arxiv.org/abs/2601.17217 #stat.ME #stat.ML

An Empirical Method for Analyzing Count Data https://arxiv.org/abs/2601.17233 #stat.ME #stat.AP

Capturing Cumulative Disease Burden in Chronic Kidney Disease Outcome Trials: Area Under the Curve and Restricted Mean Time in Favor of Treatment Beyond Conventional Time-to-First Analysis https://arxiv.org/abs/2601.17241 #stat.ME

Covariate-assisted Grade of Membership Models via Shared Latent Geometry https://arxiv.org/abs/2601.17265 #stat.ME #stat.ML