Stat.ML Papers

A Consistency-Centric Approach to Set-Based Optimization with Multiple Models of Unranked Fidelity ift.tt/TuyhCm8

Heterogeneous Ordinal Structure Learning with Bayesian Nonparametric Complexity Discovery ift.tt/EypbrBQ

Entropic Riemannian Neural Optimal Transport ift.tt/6dyh2Fo

Adapt or Forget: Provable Tradeoffs Between Adam and SGD in Nonstationary Optimization ift.tt/Q9SC0ZD

Perturbation is All You Need for Extrapolating Language Models ift.tt/QxAck8d

Multiscale Euclidean Network Trajectories: Second-Moment Geometry, Attribution, and Change Points ift.tt/LUHAGWN

Jacobian-Velocity Bounds for Deployment Risk Under Covariate Drift ift.tt/X8RLphy

Scalable inference of spatial regions and temporal signatures from time series ift.tt/K3eAiDW

Hypergraph Generation via Structured Stochastic Diffusion ift.tt/WBrAaF1

Proximal Projection for Doubly Sparse Regularized Models ift.tt/puf0PFA

Sharp Capacity Thresholds in Linear Associative Memory: From Winner-Take-All to Listwise Retrieval ift.tt/atfwrq8

Bayesian Optimization in Linear Time ift.tt/RThp9Nt

BOOOM: Loss-Function-Agnostic Black-Box Optimization over Orthonormal Manifolds for Machine Learning and Statistical Inference ift.tt/hCQUicl

Explaining and Preventing Alignment Collapse in Iterative RLHF ift.tt/hevNW2D

A Mean Curvature Approach to Boundary Detection: Geometric Insights for Unsupervised Learning ift.tt/Op9Q0zV

Symbolic Regression via Neural Networks ift.tt/SA27cvd

Causal discovery under mean independence and linearity ift.tt/KmaJcbB

Augmented transfer regression learning for completely missing covariates ift.tt/phW6GU3

FL-Sailer: Efficient and Privacy-Preserving Federated Learning for Scalable Single-Cell Epigenetic Data Analysis via Adaptive Sampling ift.tt/CnioVR0

From Video-to-PDE: Data-Driven Discovery of Nonlinear Dye Plume Dynamics ift.tt/WzoNlbS