Learning-based low-rank approximations

by Indyk, Piotr
Published 2021

Transfer Learning for Constituency-Based Grammars

by Zhang, Yuan, Barzilay, Regina, Globerson, Amir
Published 2015

Learning-based frequency estimation algorithms

by Hsu, Chen-Yu, Indyk, Piotr, Katabi, Dina, Vakilian, Ali
Published 2021

Learning constraint-based planning models from demonstrations

by Loula, Joao, Allen, Kelsey Rebecca, Silver, Tom, Tenenbaum, Joshua B
Published 2021

FPGA Implementation of a Cryptographically-Secure PUF Based on Learning Parity with Noise

by Jin, Chenglu, Nguyen, Phuong Ha, Fuller, Benjamin, van Dijk, Marten, Nguyen, Phuong, Herder, Charles Henry, Devadas, Srinivas, Ren, Ling
Published 2018

Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives

by Gehrmann, Sebastian, Li, Yeran, Carlson, Eric T., Wu, Joy T., Welt, Jonathan, Foote, John, Moseley, Edward T., Grant, David W., Tyler, Patrick D., Dernoncourt, Franck, Celi, Leo Anthony G.
Published 2018

Unsupervised learning based performance analysis of v-support vector regression for speed prediction of a large road network

by Jaillet, Patrick, Asif, Muhammad Tayyab, Dauwels, Justin H. G., Goh, C. Y., Oran, Ali, Fathi, E., Xu, M., Dhanya, M. M., Mitrovic, Nikola
Published 2014

Learning to acquire information

by Pu, Yewen, Kaelbling, Leslie P, Solar Lezama, Armando
Published 2021

Reinforcement learning with limited reinforcement: Using Bayes risk for active learning in POMDPs

by Pineau, Joelle, Doshi-Velez, Finale P, Roy, Nicholas
Published 2017

Learning with a Wasserstein loss

by Araya-Polo, Mauricio, Frogner, Charles Albert, Zhang, Chiyuan, Mobahi, Hossein, Poggio, Tomaso A
Published 2017

Unsupervised learning by program synthesis

by Ellis, Kevin M., Solar Lezama, Armando, Tenenbaum, Joshua B
Published 2018

Sampling for Bayesian program learning

by Ellis, Kevin M., Solar Lezama, Armando, Tenenbaum, Joshua B
Published 2017

Approaching the Symbol Grounding Problem with Probabilistic Graphical Models

by Tellex, Stefanie A., Kollar, Thomas Fleming, Dickerson, Steven R., Walter, Matthew R., Banerjee, Ashis, Teller, Seth, Roy, Nicholas
Published 2012

Learning to predict where humans look

by Judd, Tilke M., Ehinger, Krista A., Durand, Fredo, Torralba, Antonio
Published 2011

Learning Approximate Sequential Patterns for Classification

by Syed, Zeeshan, Indyk, Piotr, Guttag, John V.
Published 2011

Online learning with sample path constraints

by Mannor, Shie, Tsitsiklis, John N., Yu, Jia Yuan
Published 2010

Nonparametric Bayesian Texture Learning and Synthesis

by Zhu, Long, Chen, Yuanhao, Freeman, William T., Torralba, Antonio
Published 2011

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

by Dalca, Adrian Vasile, Balakrishnan, Guha, Guttag, John V, Sabunca, Mert R.
Published 2021

Learning dimensionality-reduced classifiers for information fusion

by Varshney, Kush R., Willsky, Alan S.
Published 2012

Sample efficient active learning of causal trees

by Greenewald, Kristjan, Katz, Dmitriy, Shanmugam, Karthikeyan, Magliacane, Sara, Kocaoglu, Murat, Boix-Adsera, Enric, Bresler, Guy
Published 2021