Rebecca Willett
26 papers · 2008–2025 · 7 conferences · across top CS/AI conferences
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ICML (5)
AISTATS (4)
JMLR (4)
COLT (2)
ICLR (2)
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Research topics
Keywords
online learning
(3)
neural network
(3)
low-rank matrix
(3)
high-dimensional regression
(3)
learning theory
(2)
dynamical system
(2)
sample complexity
(2)
change point detection
(2)
contrastive learning
(2)
regret bound
(2)
reproducing kernel hilbert space
(2)
matrix completion
(2)
uncertainty quantification
(1)
parameter estimation
(1)
image generation
(1)
density estimation
(1)
graph clustering
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metric learning
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representation learning
(1)
model misspecification
(1)
Papers
Can a calibration metric be both testable and actionable?
COLT 2025
Quality Measures for Dynamic Graph Generative Models
ICLR 2025
Nested Diffusion Models Using Hierarchical Latent Priors
CVPR 2025
Bagging Provides Assumption-free Stability
JMLR 2024
Building a stable classifier with the inflated argmax
NIPS 2024
Integrating Uncertainty Awareness into Conformalized Quantile Regression
AISTATS 2024
Depth Separation in Norm-Bounded Infinite-Width Neural Networks
COLT 2024
Deep Stochastic Mechanics
ICML 2024
Training neural operators to preserve invariant measures of chaotic attractors
NIPS 2023
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification
NIPS 2022
Functional Linear Regression with Mixed Predictors
JMLR 2022
Lazy Estimation of Variable Importance for Large Neural Networks
ICML 2022
Statistically and Computationally Efficient Change Point Localization in Regression Settings
JMLR 2021
Context-dependent Networks in Multivariate Time Series: Models, Methods, and Risk Bounds in High Dimensions
JMLR 2021
Localizing Changes in High-Dimensional Regression Models
AISTATS 2021
Pure Exploration in Kernel and Neural Bandits
NIPS 2021
A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case
ICLR 2020
Estimating Network Structure from Incomplete Event Data
AISTATS 2019
Bilinear Bandits with Low-rank Structure
ICML 2019
Improved Strongly Adaptive Online Learning using Coin Betting
AISTATS 2017
Subspace Clustering via Tangent Cones
NIPS 2017
Scalable Generalized Linear Bandits: Online Computation and Hashing
NIPS 2017
Algebraic Variety Models for High-Rank Matrix Completion
ICML 2017
Matrix Completion Under Monotonic Single Index Models
NIPS 2015
Dynamical Models and tracking regret in online convex programming
ICML 2013
Near-minimax recursive density estimation on the binary hypercube
NIPS 2008