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Manuela Veloso

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Robust Document Representations using Latent Topics and Metadata

Oct 23, 2020
Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso

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SURF: Improving classifiers in production by learning from busy and noisy end users

Oct 12, 2020
Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso

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Paying down metadata debt: learning the representation of concepts using topic models

Oct 09, 2020
Jiahao Chen, Manuela Veloso

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AI pptX: Robust Continuous Learning for Document Generation with AI Insights

Oct 02, 2020
Vineeth Ravi, Selim Amrouni, Andrea Stefanucci, Prashant Reddy, Manuela Veloso

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Calibration of Shared Equilibria in General Sum Partially Observable Markov Games

Jun 23, 2020
Nelson Vadori, Sumitra Ganesh, Prashant Reddy, Manuela Veloso

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Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty

Jun 23, 2020
Nelson Vadori, Sumitra Ganesh, Prashant Reddy, Manuela Veloso

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Guaranteeing Reproducibility in Deep Learning Competitions

May 12, 2020
Brandon Houghton, Stephanie Milani, Nicholay Topin, William Guss, Katja Hofmann, Diego Perez-Liebana, Manuela Veloso, Ruslan Salakhutdinov

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Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users

Apr 27, 2020
Joshua Lockhart, Samuel Assefa, Tucker Balch, Manuela Veloso

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Latent Bayesian Inference for Robust Earnings Estimates

Apr 14, 2020
Chirag Nagpal, Robert E. Tillman, Prashant Reddy, Manuela Veloso

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Heuristics for Link Prediction in Multiplex Networks

Apr 09, 2020
Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant Reddy, Manuela Veloso

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