Shashank Singh

According to our database, Shashank Singh authored at least 31 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Optimal Binary Classification Beyond Accuracy.

Shashank Singh, Justin T. Khim

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

Decoding Attention from Gaze: A Benchmark Dataset and End-to-End Models.

Karan Uppal, Jaeah Kim, Shashank Singh

Proceedings of The 1st Gaze Meets ML workshop, 2022

2021

A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan.

Sercan Ö. Arik, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Joseph R. Ledsam, Long T. Le, Michael W. Dusenberry, Nathanael C. Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Shashank Singh, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Kane Cunningham, Hiroki Kayama, Thomas C. Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, Tomas Pfister

npj Digit. Medicine, 2021

Statistical Theory for Imbalanced Binary Classification.

Shashank Singh, Justin Khim

CoRR, 2021

Continuum-Armed Bandits: A Function Space Perspective.

Shashank Singh

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

2020

Estimating Probability Distributions and their Properties.

Shashank Singh

PhD thesis, 2020

Interpretable Sequence Learning for COVID-19 Forecasting.

Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Nate Yoder, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister

CoRR, 2020

Multiclass Classification via Class-Weighted Nearest Neighbors.

Justin Khim, Ziyu Xu, Shashank Singh

CoRR, 2020

Robust Density Estimation under Besov IPM Losses.

Ananya Uppal, Shashank Singh, Barnabás Póczos

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

Interpretable Sequence Learning for Covid-19 Forecasting.

Sercan Ömer Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long T. Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister

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

Staying and Returning Dynamics of Sustained Attention in Young Children.

Jaeah Kim, Shashank Singh, Erik D. Thiessen, Anna V. Fisher

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

A bacterial based distributed gradient descent model for mass scale evacuations.

Sabrina Rashid, Shashank Singh, Saket Navlakha, Ziv Bar-Joseph

Swarm Evol. Comput., 2019

Predicting enhancer-promoter interaction from genomic sequence with deep neural networks.

Shashank Singh, Yang Yang, Barnabás Póczos, Jian Ma

Quant. Biol., 2019

DARC: Differentiable ARchitecture Compression.

Shashank Singh, Ashish Khetan, Zohar S. Karnin

CoRR, 2019

Nonparametric Density Estimation under Besov IPM Losses.

Ananya Uppal, Shashank Singh, Barnabás Póczos

CoRR, 2019

Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses.

Ananya Uppal, Shashank Singh, Barnabás Póczos

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

Measuring Selective Sustained Attention in Children with TrackIt and Eyetracking.

Jaeah Kim, Shashank Singh, Emily Keebler, Erik D. Thiessen, Anna V. Fisher

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Minimax Estimation of Quadratic Fourier Functionals.

Shashank Singh, Bharath K. Sriperumbudur, Barnabás Póczos

CoRR, 2018

Minimax Distribution Estimation in Wasserstein Distance.

Shashank Singh, Barnabás Póczos

CoRR, 2018

Nonparametric Density Estimation under Adversarial Losses.

Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnabás Póczos

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

A Hidden Markov Model for Analyzing Eye-Tracking of Moving Objects.

Jaeah Kim, Shashank Singh, Anna Vande Velde, Erik D. Thiessen, Anna V. Fisher

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Minimax Reconstruction Risk of Convolutional Sparse Dictionary Learning.

Shashank Singh, Barnabás Póczos, Jian Ma

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

On the Reconstruction Risk of Convolutional Sparse Dictionary Learning.

Shashank Singh, Barnabás Póczos, Jian Ma

CoRR, 2017

Exploiting sequence-based features for predicting enhancer-promoter interactions.

Yang Yang, Ruochi Zhang, Shashank Singh, Jian Ma

Bioinform., 2017

Nonparanormal Information Estimation.

Shashank Singh, Barnabás Póczos

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

2016

Analysis of k-Nearest Neighbor Distances with Application to Entropy Estimation.

Shashank Singh, Barnabás Póczos

CoRR, 2016

Distributed Gradient Descent in Bacterial Food Search.

Shashank Singh, Sabrina Rashid, Saket Navlakha, Ziv Bar-Joseph

Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016

Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators.

Shashank Singh, Barnabás Póczos

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

Efficient Nonparametric Smoothness Estimation.

Shashank Singh, Simon S. Du, Barnabás Póczos

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

2014

Exponential Concentration of a Density Functional Estimator.

Shashank Singh, Barnabás Póczos

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

Generalized Exponential Concentration Inequality for Renyi Divergence Estimation.

Shashank Singh, Barnabás Póczos

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