Shashank Singh

Orcid: 0000-0002-7305-673X

Affiliations:
  • Carnegie Mellon University, Machine Learning Department, Pittsburgh, PA, USA


According to our database1, Shashank Singh authored at least 32 papers between 2014 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Optimal Binary Classification Beyond Accuracy.
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.
Proceedings of The 1st Gaze Meets ML workshop, 2022

A Hierarchical Model of Attention over Time.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan.
npj Digit. Medicine, 2021

Statistical Theory for Imbalanced Binary Classification.
CoRR, 2021

Continuum-Armed Bandits: A Function Space Perspective.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Estimating Probability Distributions and their Properties.
PhD thesis, 2020

Interpretable Sequence Learning for COVID-19 Forecasting.
CoRR, 2020

Multiclass Classification via Class-Weighted Nearest Neighbors.
CoRR, 2020

Robust Density Estimation under Besov IPM Losses.
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.
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.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
A bacterial based distributed gradient descent model for mass scale evacuations.
Swarm Evol. Comput., 2019

Predicting enhancer-promoter interaction from genomic sequence with deep neural networks.
Quant. Biol., 2019

DARC: Differentiable ARchitecture Compression.
CoRR, 2019

Nonparametric Density Estimation under Besov IPM Losses.
CoRR, 2019

Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses.
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.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Minimax Estimation of Quadratic Fourier Functionals.
CoRR, 2018

Minimax Distribution Estimation in Wasserstein Distance.
CoRR, 2018

Nonparametric Density Estimation under Adversarial Losses.
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.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Minimax Reconstruction Risk of Convolutional Sparse Dictionary Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
On the Reconstruction Risk of Convolutional Sparse Dictionary Learning.
CoRR, 2017

Exploiting sequence-based features for predicting enhancer-promoter interactions.
Bioinform., 2017

Nonparanormal Information Estimation.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Analysis of k-Nearest Neighbor Distances with Application to Entropy Estimation.
CoRR, 2016

Distributed Gradient Descent in Bacterial Food Search.
Proceedings of the Research in Computational Molecular Biology - 20th Annual Conference, 2016

Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Efficient Nonparametric Smoothness Estimation.
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.
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.
Proceedings of the 31th International Conference on Machine Learning, 2014


  Loading...