See also my Google Scholar page.

Working Papers and Preprints (not yet peer reviewed)
  • DARC: Differentiable ARchitecture Compression. arXiv
    With Ashish Khetan and Zohar Karnin.
  • A Hidden Markov Model for Analyzing Eye-Tracking of Moving Objects.
    PsyArXiv Poster Code/Data
    With Jaeah Kim, Erik D. Thiessen, and Anna V. Fisher.
  • Minimax Estimation of Quadratic Fourier Functionals. arXiv
    With Bharath Sriperumbudur and Barnabas Poczos.
  • Minimax Distribution Estimation in Wasserstein Distance. arXiv
    With Barnabas Poczos.
2019
  • Nonparametric Density Estimation & Convergence of GANs under Besov IPM Losses. arXiv
    With Ananya Uppal and Barnabas Poczos.
    Accepted to Neural Information Processing Systems (NeurIPS) as Oral Presentation.
  • 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.
2018
  • Nonparametric Density Estimation with Adversarial Losses. Paper 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)
  • A Hidden Markov Model for Analyzing Eye-Tracking of Moving Objects. PDF Code/Data
    With Jaeah Kim, Anna Vande Velde, Erik D. Thiessen, and Anna V. Fisher.
    In Procecedings of the Annual Meeting of the Cognitive Science Society (CogSci).
  • 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).
    • A short version of this paper was presented at the 2017 Allerton Conference PDF Slides
2017
  • 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).
2016
  • 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. PDF 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
2014
  • 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).
Technical Reports
  • 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).
Theses
  • Estimating Probability Distributions and their Properties. Draft of PhD Thesis. 2019. PDF
  • Estimating Probability Distributions and their Properties. PhD Proposal. 2018. PDF
  • Concentration Inequalities for Density Functionals. Undergraduate Honors Thesis. 2014. PDF