Shashank Singh
Shashank Singh
Carnegie Mellon University; Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Finite-sample analysis of fixed-k nearest neighbor density functional estimators
S Singh, B Póczos
Advances in Neural Information Processing Systems, 1217-1225, 2016
65*2016
Predicting enhancer-promoter interaction from genomic sequence with deep neural networks
S Singh, Y Yang, B Poczos, J Ma
Quantitative Biology 7 (2), 122-137, 2019
612019
Generalized exponential concentration inequality for Rényi divergence estimation
S Singh, B Póczos
International Conference on Machine Learning, 333-341, 2014
512014
Exponential Concentration of a Density Functional Estimator
S Singh, B Poczos
Advances in Neural Information Processing Systems (NIPS), 3032-3040, 2014
422014
Exploiting sequence-based features for predicting enhancer–promoter interactions
Y Yang, R Zhang, S Singh, J Ma
Bioinformatics 33 (14), i252-i260, 2017
402017
Minimax distribution estimation in Wasserstein distance
S Singh, B Póczos
arXiv preprint arXiv:1802.08855, 2018
292018
Nonparametric density estimation under adversarial losses
S Singh, A Uppal, B Li, CL Li, M Zaheer, B Póczos
arXiv preprint arXiv:1805.08836, 2018
222018
Nonparametric density estimation & convergence rates for GANs under Besov IPM losses
A Uppal, S Singh, B Póczos
Advances in Neural Information Processing Systems, 9089-9100, 2019
182019
Interpretable sequence learning for COVID-19 forecasting
SO Arik, CL Li, J Yoon, R Sinha, A Epshteyn, LT Le, V Menon, S Singh, ...
arXiv preprint arXiv:2008.00646, 2020
102020
Nonparanormal Information Estimation
S Singh, B Poczos
arXiv preprint arXiv:1702.07803, 2017
102017
A hidden Markov model for analyzing eye-tracking of moving objects
J Kim, S Singh, ED Thiessen, AV Fisher
Behavior Research Methods, 1-19, 2020
72020
Minimax reconstruction risk of convolutional sparse dictionary learning
S Singh, B Póczos, J Ma
International Conference on Artificial Intelligence and Statistics, 1327-1336, 2018
72018
Distributed Gradient Descent in Bacterial Food Search
S Singh, S Rashid, Z Long, S Navlakha, H Salman, ZN Oltvai, ...
Annual International Conference on Research in Computational Molecular Biology, 2016
72016
Adjustment in tumbling rates improves bacterial chemotaxis on obstacle-laden terrains
S Rashid, Z Long, S Singh, M Kohram, H Vashistha, S Navlakha, ...
Proceedings of the National Academy of Sciences 116 (24), 11770-11775, 2019
62019
Darc: Differentiable architecture compression
S Singh, A Khetan, Z Karnin
arXiv preprint arXiv:1905.08170, 2019
62019
A bacterial based distributed gradient descent model for mass scale evacuations
S Rashid, S Singh, S Navlakha, Z Bar-Joseph
Swarm and Evolutionary Computation 46, 97-103, 2019
42019
Minimax estimation of quadratic Fourier functionals
S Singh, BK Sriperumbudur, B Póczos
arXiv preprint arXiv:1803.11451, 2018
42018
Nonparametric density estimation with adversarial losses
S Singh, A Uppal, B Li, CL Li, M Zaheer, B Póczos
Proceedings of the 32nd International Conference on Neural Information …, 0
4
Efficient nonparametric smoothness estimation
S Singh, SS Du, B Póczos
arXiv preprint arXiv:1605.05785, 2016
32016
Continuum-Armed Bandits: A Function Space Perspective
S Singh
International Conference on Artificial Intelligence and Statistics, 2620-2628, 2021
2021
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Articles 1–20