Jennifer Dy

SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification WACV 2026 Axiomatic Explainer Globalness via Optimal Transport AISTATS 2025 Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation EMNLP 2025 STAR: Stability-Inducing Weight Perturbation for Continual Learning ICLR 2025 Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions AISTATS 2024 Boundary-Aware Uncertainty for Feature Attribution Explainers AISTATS 2024 DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning ICML 2023 QueryForm: A Simple Zero-shot Form Entity Query Framework ACL 2023 SmoothHess: ReLU Network Feature Interactions via Stein's Lemma NeurIPS 2023 Deep Layer-wise Networks Have Closed-Form Weights AISTATS 2022 DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning ECCV 2022 Explanations of Black-Box Models based on Directional Feature Interactions ICLR 2022 Learning To Prompt for Continual Learning CVPR 2022 SparCL: Sparse Continual Learning on the Edge NeurIPS 2022 Deep Spectral Ranking AISTATS 2021 Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling AISTATS 2021 Rate-Regularization and Generalization in Variational Autoencoders AISTATS 2021 Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space NeurIPS 2021 Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness NeurIPS 2021 Fast and Accurate Ranking Regression AISTATS 2020 Instance-wise Feature Grouping NeurIPS 2020 Neural Topographic Factor Analysis for fMRI Data NeurIPS 2020 ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM JMLR 2019 Solving Interpretable Kernel Dimensionality Reduction NeurIPS 2019 Structured Disentangled Representations AISTATS 2019 Variational Inference from Ranked Samples with Features ACML 2019 Crowdclustering with Partition Labels AISTATS 2018 Experimental Design under the Bradley-Terry Model IJCAI 2018 Iterative Spectral Method for Alternative Clustering AISTATS 2018 Clustering from Multiple Uncertain Experts AISTATS 2017 Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices ACML 2017 A Robust-Equitable Copula Dependence Measure for Feature Selection AISTATS 2016 Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy MLHC 2016 Nonparametric Mixture of Gaussian Processes with Constraints ICML 2013 Active Learning from Multiple Knowledge Sources AISTATS 2012 A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012 Dimensionality Reduction for Spectral Clustering AISTATS 2011 Modeling annotator expertise: Learning when everybody knows a bit of something AISTATS 2010 Sparse Probabilistic Principal Component Analysis AISTATS 2005