publication venue for
- Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection 2026
- An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates 2024
- High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise 2024
- Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport 2024
- Non-Euclidean Monotone Operator Theory and Applications 2024
- GANs as Gradient Flows that Converge 2023
- Memoryless Sequences for General Losses 2020
- POMDPs.j1: A Framework for Sequential Decision Making under Uncertainty 2017
- Differentially Private Empirical Risk Minimization 2011
- Analysis of Perceptron-Based Active Learning 2009