We stand with Ukraine

We stand with Ukraine

Daniel Sheldon

Orcid: 0000-0002-4257-2432

Affiliations:

University of Massachusetts Amherst, College of Information and Computer Sciences, MA, USA

According to our database¹, Daniel Sheldon authored at least 68 papers between 2007 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

On csauthors.net:

Bibliography

2024

Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data.

[BibT_eX]

[DOI]

,

,

,

,

CoRR, 2024

DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling.

[BibT_eX]

[DOI]

,

,

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

U-Statistics for Importance-Weighted Variational Inference.

[BibT_eX]

[DOI]

,

,

,

Trans. Mach. Learn. Res., 2023

Human in-the-Loop Estimation of Cluster Count in Datasets via Similarity-Driven Nested Importance Sampling.

[BibT_eX]

[DOI]

,

,

,

CoRR, 2023

Sample Average Approximation for Black-Box VI.

[BibT_eX]

[DOI]

,

,

CoRR, 2023

Automatically marginalized MCMC in probabilistic programming.

[BibT_eX]

[DOI]

,

,

,

Proceedings of the International Conference on Machine Learning, 2023

2022

AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data.

[BibT_eX]

[DOI]

,

,

,

Proc. VLDB Endow., 2022

Kernel Interpolation with Sparse Grids.

[BibT_eX]

[DOI]

,

Daniel R. Sheldon

,

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Variational Marginal Particle Filters.

[BibT_eX]

[DOI]

,

,

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Parametric Bootstrap for Differentially Private Confidence Intervals.

[BibT_eX]

[DOI]

Cecilia Ferrando

,

,

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Winning the NIST Contest: A scalable and general approach to differentially private synthetic data.

[BibT_eX]

[DOI]

,

,

J. Priv. Confidentiality, 2021

AI for conservation: learning to track birds with radar.

[BibT_eX]

[DOI]

,

,

XRDS, 2021

Sibling Regression for Generalized Linear Models.

[BibT_eX]

[DOI]

,

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Relaxed Marginal Consistency for Differentially Private Query Answering.

[BibT_eX]

[DOI]

,

Siddhant Pradhan

,

,

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

The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data.

[BibT_eX]

[DOI]

,

Erik G. Learned-Miller

,

,

Guillermo Gallego

,

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Faster Kernel Interpolation for Gaussian Processes.

[BibT_eX]

[DOI]

,

,

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

2020

Normalizing Flows Across Dimensions.

[BibT_eX]

[DOI]

Edmond Cunningham

,

Renos Zabounidis

,

Abhinav Agrawal

,

,

CoRR, 2020

General-Purpose Differentially-Private Confidence Intervals.

[BibT_eX]

[DOI]

Cecilia Ferrando

,

,

CoRR, 2020

Permute-and-Flip: A new mechanism for differentially private selection.

[BibT_eX]

[DOI]

,

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization.

[BibT_eX]

[DOI]

Abhinav Agrawal

,

,

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Detecting and Tracking Communal Bird Roosts in Weather Radar Data.

[BibT_eX]

[DOI]

,

,

Pankaj Bhambhani

,

,

,

Andrew Laughlin

,

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

2019

Computational sustainability: computing for a better world and a sustainable future.

[BibT_eX]

[DOI]

Commun. ACM, 2019

Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation.

[BibT_eX]

[DOI]

,

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

Differentially Private Bayesian Linear Regression.

[BibT_eX]

[DOI]

Garrett Bernstein

,

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

Three-quarter Sibling Regression for Denoising Observational Data.

[BibT_eX]

[DOI]

,

,

,

,

Thomas G. Dietterich

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Graphical-model based estimation and inference for differential privacy.

[BibT_eX]

[DOI]

,

,

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

A Bayesian Perspective on the Deep Image Prior.

[BibT_eX]

[DOI]

,

Matheus Gadelha

,

,

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Importance Weighting and Variational Inference.

[BibT_eX]

[DOI]

,

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

Differentially Private Bayesian Inference for Exponential Families.

[BibT_eX]

[DOI]

Garrett Bernstein

,

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

Inferring Latent Velocities from Weather Radar Data using Gaussian Processes.

[BibT_eX]

[DOI]

,

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

Learning in Integer Latent Variable Models with Nested Automatic Differentiation.

[BibT_eX]

[DOI]

,

,

Proceedings of the 35th International Conference on Machine Learning, 2018

SolarClique: Detecting Anomalies in Residential Solar Arrays.

[BibT_eX]

[DOI]

Srinivasan Iyengar

,

,

,

Prashant J. Shenoy

Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

2017

Kálmán filters for continuous-time movement models.

[BibT_eX]

[DOI]

Christen H. Fleming

,

,

Eliezer Gurarie

,

William F. Fagan

,

,

Justin M. Calabrese

Ecol. Informatics, 2017

Exact Inference for Integer Latent-Variable Models.

[BibT_eX]

[DOI]

,

,

Proceedings of the 34th International Conference on Machine Learning, 2017

Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models.

[BibT_eX]

[DOI]

Garrett Bernstein

,

,

,

,

,

Proceedings of the 34th International Conference on Machine Learning, 2017

A Probabilistic Approach for Learning with Label Proportions Applied to the US Presidential Election.

[BibT_eX]

[DOI]

,

,

Brendan O'Connor

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Robust Optimization for Tree-Structured Stochastic Network Design.

[BibT_eX]

[DOI]

,

,

,

Shlomo Zilberstein

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Probabilistic Inference with Generating Functions for Poisson Latent Variable Models.

[BibT_eX]

[DOI]

,

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

Distinguishing Weather Phenomena from Bird Migration Patterns in Radar Imagery.

[BibT_eX]

[DOI]

Aruni Roy Chowdhury

,

,

,

Erik G. Learned-Miller

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Approximate Inference Using DC Programming For Collective Graphical Models.

[BibT_eX]

[DOI]

Duc Thien Nguyen

,

,

Hoong Chuin Lau

,

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Consistently Estimating Markov Chains with Noisy Aggregate Data.

[BibT_eX]

[DOI]

Garrett Bernstein

,

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Optimizing Resilience in Large Scale Networks.

[BibT_eX]

[DOI]

,

,

Shlomo Zilberstein

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Robust Decision Making for Stochastic Network Design.

[BibT_eX]

[DOI]

,

Arambam James Singh

,

Pradeep Varakantham

,

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Scheduling Conservation Designs for Maximum Flexibility via Network Cascade Optimization.

[BibT_eX]

[DOI]

,

,

J. Artif. Intell. Res., 2015

Bethe Projections for Non-Local Inference.

[BibT_eX]

[DOI]

,

,

,

Andrew McCallum

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

Fast Combinatorial Algorithm for Optimizing the Spread of Cascades.

[BibT_eX]

[DOI]

,

,

Shlomo Zilberstein

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Inference in a Partially Observed Queuing Model with Applications in Ecology.

[BibT_eX]

[DOI]

,

Garrett Bernstein

,

Proceedings of the 32nd International Conference on Machine Learning, 2015

Message Passing for Collective Graphical Models.

[BibT_eX]

[DOI]

,

,

Proceedings of the 32nd International Conference on Machine Learning, 2015

An Optimization Framework for Merging Multiple Result Lists.

[BibT_eX]

[DOI]

,

,

,

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Reconstructing Velocities of Migrating Birds from Weather Radar - A Case Study in Computational Sustainability.

[BibT_eX]

[DOI]

Andrew Farnsworth

,

,

Jeffrey Geevarghese

,

,

Benjamin Van Doren

,

,

Thomas G. Dietterich

,

AI Mag., 2014

Stochastic Network Design in Bidirected Trees.

[BibT_eX]

[DOI]

,

,

Shlomo Zilberstein

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

Gaussian Approximation of Collective Graphical Models.

[BibT_eX]

[DOI]

,

,

Thomas G. Dietterich

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

Dynamic Resource Allocation for Optimizing Population Diffusion.

[BibT_eX]

[DOI]

,

,

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Rounded Dynamic Programming for Tree-Structured Stochastic Network Design.

[BibT_eX]

[DOI]

,

,

Shlomo Zilberstein

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

2013

Hamming Approximation of NP Witnesses.

[BibT_eX]

[DOI]

,

Theory Comput., 2013

Collective Diffusion Over Networks: Models and Inference.

[BibT_eX]

[DOI]

,

,

Biplav Srivastava

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Parameter Learning for Latent Network Diffusion.

[BibT_eX]

[DOI]

,

,

,

Shlomo Zilberstein

Proceedings of the IJCAI 2013, 2013

Approximate Inference in Collective Graphical Models.

[BibT_eX]

[DOI]

,

,

,

Thomas G. Dietterich

Proceedings of the 30th International Conference on Machine Learning, 2013

Approximate Bayesian Inference for Reconstructing Velocities of Migrating Birds from Weather Radar.

[BibT_eX]

[DOI]

,

Andrew Farnsworth

,

,

Benjamin Van Doren

,

,

Thomas G. Dietterich

,

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

First Passage Time of Skew Brownian Motion.

[BibT_eX]

[DOI]

Thilanka Appuhamillage

,

J. Appl. Probab., 2012

Machine learning for computational sustainability.

[BibT_eX]

[DOI]

Thomas G. Dietterich

,

Ethan W. Dereszynski

,

Rebecca A. Hutchinson

,

Proceedings of the 2012 International Green Computing Conference, 2012

Scheduling Conservation Designs via Network Cascade Optimization.

[BibT_eX]

[DOI]

,

,

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

LambdaMerge: merging the results of query reformulations.

[BibT_eX]

[DOI]

,

,

,

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Collective Graphical Models.

[BibT_eX]

[DOI]

,

Thomas G. Dietterich

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Manipulation of PageRank and Collective Hidden Markov Models.

[BibT_eX]

PhD thesis, 2010

Maximizing the Spread of Cascades Using Network Design.

[BibT_eX]

[DOI]

,

,

Adam N. Elmachtoub

,

,

Ashish Sabharwal

,

,

,

David B. Shmoys

,

,

,

William Vaughan

Proceedings of the UAI 2010, 2010

2008

Manipulation-Resistant Reputations Using Hitting Time.

[BibT_eX]

[DOI]

John E. Hopcroft

,

Internet Math., 2008

2007

Collective Inference on Markov Models for Modeling Bird Migration.

[BibT_eX]

[DOI]

,

M. A. Saleh Elmohamed

,

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Loading...