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Papers
On the Asymptotics of Self-Supervised Pre-training: Two-Stage M-Estimation and Representation Symmetry
COLT 2026
Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure
ICLR 2025
Asymptotic Analysis of Weighted Fair Division
IJCAI 2025
Asymptotic Extinction in Large Coordination Games
AAAI 2025
Asymptotic Fair Division: Chores Are Easier Than Goods
IJCAI 2025
On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs
AAAI 2025
Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives
ICML 2025
A General Framework for the Analysis of Kernel-based Tests
JMLR 2024
An Asymptotic Study of Discriminant and Vote-Averaging Schemes for Randomly-Projected Linear Discriminants
JMLR 2024
Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers
AISTATS 2024
Common Event Tethering to Improve Prediction of Rare Clinical Events
UAI 2024
Generalization error of spectral algorithms
ICLR 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
NeurIPS 2024
Near-Optimality of Contrastive Divergence Algorithms
NeurIPS 2024
Non-splitting Neyman-Pearson Classifiers
JMLR 2024
Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks
NeurIPS 2024
Robust group and simultaneous inferences for high-dimensional single index model
NeurIPS 2024
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture
AISTATS 2023
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression
NeurIPS 2023
Asymptotics of Network Embeddings Learned via Subsampling
JMLR 2023
Federated Asymptotics: a model to compare federated learning algorithms
AISTATS 2023
Precise Asymptotic Analysis of Deep Random Feature Models
COLT 2023
Precise asymptotic generalization for multiclass classification with overparameterized linear models
NeurIPS 2023
Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves
AISTATS 2023
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
ICML 2023