Greg Ver Steeg

Proceedings of the IEEE Information Theory Workshop, 2022

Improving Mutual Information Estimation with Annealed and Energy-Based Bounds.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Failure Modes of Domain Generalization Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Identifying and Analyzing Cryptocurrency Manipulations in Social Media.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2021

Discovering Higher-Order Interactions Through Neural Information Decomposition.

[BibT_eX]

[DOI]

Kyle Reing

Chrysovalantis Anastasiou

Entropy, 2021

Attributing Fair Decisions with Attention Interventions.

[BibT_eX]

[DOI]

CoRR, 2021

Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption.

[BibT_eX]

[DOI]

CoRR, 2021

Fast Graph Learning with Unique Optimal Solutions.

[BibT_eX]

[DOI]

CoRR, 2021

q-Paths: Generalizing the geometric annealing path using power means.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Information-theoretic generalization bounds for black-box learning algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Implicit SVD for Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Membership Inference Attacks on Deep Regression Models for Neuroimaging.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Improved Brain Age Estimation With Slice-Based Set Networks.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning.

[BibT_eX]

[DOI]

Elan Sopher Markowitz

Keshav Balasubramanian

Proceedings of the 9th International Conference on Learning Representations, 2021

Influence Decompositions For Neural Network Attribution.

[BibT_eX]

[DOI]

Kyle Reing

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Layer-Wise Neural Network Compression via Layer Fusion.

[BibT_eX]

[DOI]

James O'Neill

Proceedings of the Asian Conference on Machine Learning, 2021

Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Maximizing Multivariate Information With Error-Correcting Codes.

[BibT_eX]

[DOI]

Kyle Reing

IEEE Trans. Inf. Theory, 2020

Likelihood Ratio Exponential Families.

[BibT_eX]

[DOI]

CoRR, 2020

Annealed Importance Sampling with q-Paths.

[BibT_eX]

[DOI]

CoRR, 2020

Compressing Deep Neural Networks via Layer Fusion.

[BibT_eX]

[DOI]

James O'Neill

CoRR, 2020

Robust Classification under Class-Dependent Domain Shift.

[BibT_eX]

[DOI]

CoRR, 2020

Overview of Scanner Invariant Representations.

[BibT_eX]

[DOI]

Daniel Moyer

Paul M. Thompson

CoRR, 2020

Event Cartography: Latent Point Process Embeddings.

[BibT_eX]

[DOI]

Myrl G. Marmarelis

CoRR, 2020

Improving generalization by controlling label-noise information in neural network weights.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Invariant Representations through Adversarial Forgetting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Modeling Dialogues with Hashcode Representations: A Nonparametric Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Discovery and Separation of Features for Invariant Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Nearly-Unsupervised Hashcode Representations for Relation Extraction.

[BibT_eX]

[DOI]

CoRR, 2019

Efficient Covariance Estimation from Temporal Data.

[BibT_eX]

[DOI]

CoRR, 2019

Scanner Invariant Representations for Diffusion MRI Harmonization.

[BibT_eX]

[DOI]

CoRR, 2019

Fast structure learning with modular regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Exact Rate-Distortion in Autoencoders via Echo Noise.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Auto-Encoding Total Correlation Explanation.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Kernelized Hashcode Representations for Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Measures of Tractography Convergence.

[BibT_eX]

[DOI]

Daniel Moyer

Paul M. Thompson

CoRR, 2018

Evading the Adversary in Invariant Representation.

[BibT_eX]

[DOI]

CoRR, 2018

Stochastic Learning of Nonstationary Kernels for Natural Language Modeling.

[BibT_eX]

[DOI]

Sahil Garg

CoRR, 2018

A Forest Mixture Bound for Block-Free Parallel Inference.

[BibT_eX]

[DOI]

Neal Lawton

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Invariant Representations without Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dialogue Modeling Via Hash Functions.

[BibT_eX]

[DOI]

Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018

2017

Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2017

Memory-induced mechanism for self-sustaining activity in networks.

[BibT_eX]

[DOI]

CoRR, 2017

Unifying Local and Global Change Detection in Dynamic Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Low Complexity Gaussian Latent Factor Models and a Blessing of Dimensionality.

[BibT_eX]

[DOI]

Haraldur Tómas Hallgrímsson

CoRR, 2017

The Spread of Physical Activity Through Social Networks.

[BibT_eX]

[DOI]

David Stück

Alessandro Epasto

Luca Foschini

Proceedings of the 26th International Conference on World Wide Web, 2017

Sifting Common Information from Many Variables.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Unsupervised Learning via Total Correlation Explanation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Disentangled representations via synergy minimization.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Toward Interpretable Topic Discovery via Anchored Correlation Explanation.

[BibT_eX]

[DOI]

CoRR, 2016

Latent Space Model for Multi-Modal Social Data.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on World Wide Web, 2016

Variational Information Maximization for Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Relative value of diverse brain MRI and blood-based biomarkers for predicting cognitive decline in the elderly.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2016: Image Processing, 2016

The Information Sieve.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Disentangling the Lexicons of Disaster Response in Twitter.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Estimating Mutual Information by Local Gaussian Approximation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly.

[BibT_eX]

[DOI]

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Information-theoretic characterization of blood panel predictors for brain atrophy and cognitive decline in the elderly.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Maximally Informative Hierarchical Representations of High-Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Efficient Estimation of Mutual Information for Strongly Dependent Variables.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Mixed Membership Blockmodels for Dynamic Networks with Feedback.

[BibT_eX]

[DOI]

Yoon-Sik Cho

Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

Modeling Temporal Activity Patterns in Dynamic Social Networks.

[BibT_eX]

[DOI]

Vasanthan Raghavan

Alexander G. Tartakovsky

IEEE Trans. Comput. Soc. Syst., 2014

Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization.

[BibT_eX]

[DOI]

Linhong Zhu

CoRR, 2014

Understanding confounding effects in linguistic coordination: an information-theoretic approach.

[BibT_eX]

[DOI]

CoRR, 2014

Discovering Structure in High-Dimensional Data Through Correlation Explanation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Demystifying Information-Theoretic Clustering.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Where and Why Users "Check In".

[BibT_eX]

[DOI]

Yoon-Sik Cho

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Phase Transitions in Community Detection: A Solvable Toy Model.

[BibT_eX]

[DOI]

Cristopher Moore

CoRR, 2013

Information-theoretic measures of influence based on content dynamics.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Coupled hidden markov models for user activity in social networks.

[BibT_eX]

[DOI]

Vasanthan Raghavan

Alexander G. Tartakovsky

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Statistical Tests for Contagion in Observational Social Network Studies.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Inferring Predictive Links in Social Media Using Content Transfer

[BibT_eX]

[DOI]

CoRR, 2012

Information transfer in social media.

[BibT_eX]

[DOI]

Proceedings of the 21st World Wide Web Conference 2012, 2012

Information Theoretic Tools for Social Media.

[BibT_eX]

[DOI]

Proceedings of the WWW'12 Workshop on 'Making Sense of Microposts', 2012

2011

A Sequence of Relaxations Constraining Hidden Variable Models

[BibT_eX]

[DOI]

CoRR, 2011

Statistical Mechanics of Semi-Supervised Clustering in Sparse Graphs

[BibT_eX]

[DOI]

CoRR, 2011

Statistical Mechanics of Semi-Supervised Clustering in Sparse Graphs (Abstract).

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

A Sequence of Relaxation Constraining Hidden Variable Models.

[BibT_eX]

[DOI]

Proceedings of the UAI 2011, 2011

What Stops Social Epidemics?

[BibT_eX]

[DOI]

Rumi Ghosh

Kristina Lerman

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Social Mechanics: An Empirically Grounded Science of Social Media.

[BibT_eX]

[DOI]

Proceedings of the Future of the Social Web, 2011

Co-Evolution of Selection and Influence in Social Networks.

[BibT_eX]

[DOI]

Yoon-Sik Cho

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2009

Relaxed uncertainty relations and information processing.

[BibT_eX]

[DOI]