Shashank Singh

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 38

Top Topics

Binary Classification

Nearest Neighbor

Kullback Leibler

Nonparametric Density Estimation

Top Venues

Publications

Karan Uppal, Jaeah Kim, Shashank Singh
Decoding Attention from Gaze: A Benchmark Dataset and End-to-End Models. CoRR (2022)
Shashank Singh, Justin T. Khim
Optimal Binary Classification Beyond Accuracy. NeurIPS (2022)
Jaeah Kim, Shashank Singh, Dan Yurovsky, Anna V. Fisher, Erik D. Thiessen
A Hierarchical Model of Attention over Time. CogSci (2022)
Karan Uppal, Jaeah Kim, Shashank Singh
Decoding Attention from Gaze: A Benchmark Dataset and End-to-End Models. Gaze Meets ML (2022)
Shashank Singh, Justin Khim
Statistical Theory for Imbalanced Binary Classification. CoRR (2021)
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
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan. npj Digit. Medicine 4 (2021)
Shashank Singh
Continuum-Armed Bandits: A Function Space Perspective. AISTATS (2021)
Shashank Singh
Continuum-Armed Bandits: A Function Space Perspective. CoRR (2020)
Ananya Uppal, Shashank Singh, Barnabás Póczos
Robust Density Estimation under Besov IPM Losses. CoRR (2020)
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
Interpretable Sequence Learning for COVID-19 Forecasting. CoRR (2020)
Justin Khim, Ziyu Xu, Shashank Singh
Multiclass Classification via Class-Weighted Nearest Neighbors. CoRR (2020)
Ananya Uppal, Shashank Singh, Barnabás Póczos
Robust Density Estimation under Besov IPM Losses. NeurIPS (2020)
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
Interpretable Sequence Learning for Covid-19 Forecasting. NeurIPS (2020)
Jaeah Kim, Shashank Singh, Erik D. Thiessen, Anna V. Fisher
Staying and Returning Dynamics of Sustained Attention in Young Children. CogSci (2020)
Jaeah Kim, Shashank Singh, Emily Keebler, Erik D. Thiessen, Anna V. Fisher
Measuring Selective Sustained Attention in Children with TrackIt and Eyetracking. CogSci (2019)
Ananya Uppal, Shashank Singh, Barnabás Póczos
Nonparametric Density Estimation under Besov IPM Losses. CoRR (2019)
Shashank Singh, Yang Yang, Barnabás Póczos, Jian Ma
Predicting enhancer-promoter interaction from genomic sequence with deep neural networks. Quant. Biol. 7 (2) (2019)
Sabrina Rashid, Shashank Singh, Saket Navlakha, Ziv Bar-Joseph
A bacterial based distributed gradient descent model for mass scale evacuations. Swarm Evol. Comput. 46 (2019)
Ananya Uppal, Shashank Singh, Barnabás Póczos
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses. NeurIPS (2019)
Shashank Singh, Ashish Khetan, Zohar S. Karnin
DARC: Differentiable ARchitecture Compression. CoRR (2019)
Shashank Singh, Barnabás Póczos, Jian Ma
Minimax Reconstruction Risk of Convolutional Sparse Dictionary Learning. AISTATS (2018)
Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnabás Póczos
Nonparametric Density Estimation under Adversarial Losses. NeurIPS (2018)
Shashank Singh, Ananya Uppal, Boyue Li, Chun-Liang Li, Manzil Zaheer, Barnabás Póczos
Nonparametric Density Estimation under Adversarial Losses. CoRR (2018)
Shashank Singh, Barnabás Póczos
Minimax Distribution Estimation in Wasserstein Distance. CoRR (2018)
Shashank Singh, Bharath K. Sriperumbudur, Barnabás Póczos
Minimax Estimation of Quadratic Fourier Functionals. CoRR (2018)
Jaeah Kim, Shashank Singh, Anna Vande Velde, Erik D. Thiessen, Anna V. Fisher
A Hidden Markov Model for Analyzing Eye-Tracking of Moving Objects. CogSci (2018)
Shashank Singh, Barnabás Póczos
Nonparanormal Information Estimation. CoRR (2017)
Shashank Singh, Barnabás Póczos
Nonparanormal Information Estimation. ICML (2017)
Yang Yang, Ruochi Zhang, Shashank Singh, Jian Ma
Exploiting sequence-based features for predicting enhancer-promoter interactions. Bioinform. 33 (14) (2017)
Shashank Singh, Barnabás Póczos, Jian Ma
On the Reconstruction Risk of Convolutional Sparse Dictionary Learning. CoRR (2017)
Shashank Singh, Sabrina Rashid, Saket Navlakha, Ziv Bar-Joseph
Distributed Gradient Descent in Bacterial Food Search. RECOMB (2016)
Shashank Singh, Barnabás Póczos
Analysis of k-Nearest Neighbor Distances with Application to Entropy Estimation. CoRR (2016)
Shashank Singh, Simon S. Du, Barnabás Póczos
Efficient Nonparametric Smoothness Estimation. NIPS (2016)
Shashank Singh, Barnabás Póczos
Generalized Exponential Concentration Inequality for Rényi Divergence Estimation. CoRR (2016)
Shashank Singh, Barnabás Póczos
Exponential Concentration of a Density Functional Estimator. CoRR (2016)
Shashank Singh, Simon S. Du, Barnabás Póczos
Efficient Nonparametric Smoothness Estimation. CoRR (2016)
Shashank Singh, Barnabás Póczos
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators. CoRR (2016)
Shashank Singh, Barnabás Póczos
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators. NIPS (2016)
Shashank Singh, Barnabás Póczos
Generalized Exponential Concentration Inequality for Renyi Divergence Estimation. ICML (2014)
Shashank Singh, Barnabás Póczos
Exponential Concentration of a Density Functional Estimator. NIPS (2014)