Publications

Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models

International Conference on Representation Learning (ICLR), 2024.

Preprint Project

Benchmarking Algorithms for Federated Domain Generalization

International Conference on Representation Learning (ICLR), 2024.

Preprint Project Project

Towards Practical Non-Adversarial Distribution Alignment via Variational Bounds

International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.

Preprint Project

Fault-Tolerant Vertical Federated Learning on Dynamic Networks

arXiv preprint, 2023.

Preprint Project

Towards Explaining Distribution Shifts

International Conference on Machine Learning (ICML), 2023.

Preprint PDF Project Code

StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments

IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023.

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Efficient Federated Domain Translation

International Conference on Learning Representations (ICLR), 2023.

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Cooperative Distribution Alignment via JSD Upper Bound

Neural Information Processing Systems (NeurIPS), 2022.

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Discrete Tree Flows via Tree-Structured Permutations

International Conference on Machine Learning (ICML), 2022.

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Towards Explaining Image-Based Distribution Shifts

CVPR Workshop on Vision Datasets Understanding, 2022.

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Iterative Alignment Flows

International Conference on Artificial Intelligence and Statistics (AISTATS), 2022.

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Shapley Explanation Networks

International Conference on Learning Representations (ICLR), 2021.

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Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests

Neural Information Processing Systems (NeurIPS), 2020.

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Automated Dependence Plots

Uncertainty in Artificial Intelligence (UAI), 2020.

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On the (In)fidelity and Sensitivity of Explanations

Neural Information Processing Systems (NeurIPS), 2019.

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Deep Point Process Destructors

NeurIPS Workshop on Learning with Temporal Point Processes, 2019.

Project

Deep Density Destructors

International Conference on Machine Learning (ICML), 2018.

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Hyperparameter Selection under Localized Label Noise via Corrupt Validation

Learning with Limited Labeled Data (NeurIPS Workshop), 2017.

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A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution

Wiley Interdisciplinary Reviews: Computational Statistics, 2017.

Preprint PDF Code

Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies

International Conference on Machine Learning (ICML), 2016.

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Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial

Neural Information Processing Systems (NeurIPS), 2015.

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Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs

Neural Information Processing Systems (NeurIPS), 2014.

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Summarization of Twitter Microblogs

Computer Journal, 2014.

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Admixture of Poisson MRFs: A Topic Model with Word Dependencies

International Conference on Machine Learning (ICML), 2014.

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Towards Undistorted and Noise-free Speech in an MRI Scanner: Correlation Subtraction Followed by Spectral Noise Gating

The Journal of the Acoustical Society of America, 2014.

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Comparing Twitter Summarization Algorithms for Multiple Post Summaries

IEEE International Conference on Social Computing (SocialCom), 2011.

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