See also my Google Scholar page.
2023
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Spuriosity Didn’t Kill the Classifier: Harnessing Spurious Features with Invariant Predictions.
arXiv
With Cian Eastwood, Andrei Liviu Nicolicioiu, Marin Vlastelica, Julius von Kügelgen, and Bernhard Schölkopf.
In Annual Conference on Neural Information Processing Systems (NeurIPS).
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Staying and Returning Dynamics of Young Children's Attention.
Online
Data
Code
With Jaeah Kim, Catarina Vales, Emily Keebler, Anna Fisher, and Erik Thiessen.
In Developmental Science.
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Nonparametric Indirect Active Learning.
arXiv
In International Conference on Artificial Intelligence and Statistics (AISTATS).
Short version presented at ICML 2022 Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML).
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Optimal Binary Classification Beyond Accuracy.
arXiv
Code
Open math problem concerning the multiclass version of this result: PDF
With Justin Khim.
In Annual Conference on Neural Information Processing Systems (NeurIPS). -
Probable Domain Generalization via Quantile Risk Minimization.
arXiv Code
With Cian Eastwood, Alexander Robey, Julius von Kügelgen, Hamed Hassani, George J. Pappas, and Bernhard Schölkopf.
In Annual Conference on Neural Information Processing Systems (NeurIPS). -
Decoding Attention from Gaze: A Benchmark Dataset and End-to-End Models.
arXiv Code Data
With Karan Uppal and Jaeah Kim.
In Gaze Meets ML Workshop at NeurIPS 2022. -
A Heirarchical Model of Attention over Time.
PDF
Code
With Jaeah Kim, Dan Yurovsky, Anna Fisher, and Erik Thiessen.
In Procecedings of the Annual Meeting of the Cognitive Science Society (CogSci).
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A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan.
Online
Preprint
With Joseph Ledsam, Sercan Arik, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Long Le, Michael Dusenberry, Nate Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Hiroki Kayama, Thomas Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, and Tomas Pfister.
In Nature Digital Medicine.
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Continuum-Armed Bandits: A Function Space Perspective.
arXiv
Poster
In International Conference on Artificial Intelligence and Statistics (AISTATS).
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Interpretable Covid-19 Forecasting.
arXiv
Fairness Analysis
With Sercan O. Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T.Le, Vikas Menon, Leyou Zhang, Nate Yoder, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, and Tomas Pfister.
In Annual Conference on Neural Information Processing Systems (NeurIPS).
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Robust Density Estimation under Besov IPM losses.
arXiv
With Ananya Uppal and Barnabas Poczos.
In Annual Conference on Neural Information Processing Systems (NeurIPS). -
DARC: Differentiable ARchitecture Compression.
arXiv
With Ashish Khetan and Zohar Karnin.
In ICLR Workshop on Neural Architecture Search. -
Staying and Returning Dynamics of Sustained Attention in Young Children.
PDF Code Data
With Jaeah Kim, Erik D. Thiessen, and Anna V. Fisher.
In Procecedings of the Annual Meeting of the Cognitive Science Society (CogSci).
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A Hidden Markov Model for Analyzing Eye-Tracking of Moving Objects.
Online PsyArXiv Poster Code/Data
With Jaeah Kim, Erik D. Thiessen, and Anna V. Fisher.
In Behavior Research Methods. -
Nonparametric Density Estimation & Convergence of GANs under Besov IPM Losses.
arXiv
Poster
Talk
Slides
With Ananya Uppal and Barnabas Poczos.
In Neural Information Processing Systems (NeurIPS).
Honorable Mention for Outstanding Paper Award -
Adjustment in tumbling rates improves bacterial chemotaxis on obstacle-laden terrains.
Online
Postprint
Press:
Nature Reviews Microbiology
Science Bulletin
With Sabrina Rashid, Zhicheng Long, Maryam Kohram, Harsh Vashistha, Saket Navlakha, Hanna Salman, Zoltan N. Oltvai, and Ziv Bar-Joseph.
In Proceedings of the National Academy of Sciences (PNAS). -
A Bacterial based Distributed Gradient Descent Model for Mass Scale Evacuations.
Paper
Supporting Website, Code, and Movies
With Sabrina Rashid, Saket Navlakha, and Ziv Bar-Joseph.
In Swarm and Evolutionary Computation.
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Nonparametric Density Estimation with Adversarial Losses.
arXiv
Poster
With Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, and Barnabas Poczos.
In Annual Conference on Neural Information Processing Systems (NeurIPS). -
Predicting Enhancer-Promoter Interaction from Genomic Sequence with Deep Learning.
Online
bioRxiv
With Yang Yang, Barnabas Poczos, and Jian Ma.
In Quantitative Biology.- Early versions of this work were presented at the 2016 NIPS Workshop on Machine Learning in Computational Biology (MLCB) (Extended Abstract) and the 2017 Cold Spring Harbor Meeting on Systems Biology (Poster)
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Minimax Reconstruction Risk of Convolutional Sparse Dictionary Learning.
arXiv Code Poster
With Barnabas Poczos and Jian Ma.
International Conference on Artificial Intelligence and Statistics (AISTATS).
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Nonparanormal Information Estimation.
Paper
Code
Slides
Poster
With Barnabas Poczos.
International Conference on Machine Learning (ICML). -
Exploiting sequence-based features for predicting enhancer-promoter interactions.
PDF
Supplement
With Yang Yang, Ruochi Zhang, and Jian Ma.
Conference on Intelligent Systems for Molecular Biology (ISMB).
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Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators.
Paper
Poster
With Barnabas Poczos.
Annual Conference on Neural Information Processing Systems (NIPS). -
Efficient Nonparametric Smoothness Estimation.
Paper
Poster
Code
With Simon Du and Barnabas Poczos.
Annual Conference on Neural Information Processing Systems (NIPS) -
Distributed Gradient Descent in Bacterial Food Search.
arXiv
Website
Code
With Sabrina Rashid, Saket Navlakha, and Ziv Bar-Joseph.
International Conference on Research in Computational Molecular Biology (RECOMB), 2016.- An early version of this work was presented at the Workshop on Biological Distributed Algorithms (BDA), 2014 Extended Abstract Slides
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Exponential Concentration of a Density Functional Estimator.
arXiv
Poster
With Barnabas Poczos.
Annual Conference on Neural Information Processing Systems (NIPS). -
Generalized Exponential Concentration Inequality for Renyi Divergence Estimation.
arXiv
Slides
Poster
With Barnabas Poczos.
International Conference on Machine Learning (ICML).
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Multiclass Classification via Class-Weighted Nearest Neighbors.
arXiv
Code
With Justin Khim and Neil Xu. -
Minimax Distribution Estimation in Wasserstein Distance.
arXiv
With Barnabas Poczos. -
Minimax Estimation of Quadratic Fourier Functionals.
arXiv
With Bharath Sriperumbudur and Barnabas Poczos. -
Analysis of k-Nearest Neighbor Distances with Application to Entropy Estimation.
PDF
With Barnabas Poczos.
This report studies convergence rates of the classic k-nearest neighbor entropy estimator of Kozachenko and Leonenko (1987). The results have been generalized to other functionals and published in the 2016 NIPS paper Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators (above).
- Estimating Probability Distributions and their Properties. PhD Thesis. 2019. PDF
- Estimating Probability Distributions and their Properties. PhD Proposal. 2018. PDF
- Concentration Inequalities for Density Functionals. Undergraduate Honors Thesis. 2014. PDF