Shashank Singh

41 papers A* 7A 2B 5Journal 22Unranked 4

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