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Travis Dick
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Cited by
Cited by
Year
Learning to Branch
MF Balcan, T Dick, T Sandholm, E Vitercik
International Conference on Machine Learning, 2018
2082018
Differentially private clustering in high-dimensional euclidean spaces
MF Balcan, T Dick, Y Liang, W Mou, H Zhang
International Conference on Machine Learning, 322-331, 2017
882017
Online learning in markov decision processes with changing cost sequences
T Dick, A Gyorgy, C Szepesvari
International Conference on Machine Learning, 512-520, 2014
802014
Random Smoothing Might be Unable to Certify Robustness for High-Dimensional Images
A Blum, T Dick, N Manoj, H Zhang
Journal of machine learning research 21 (211), 1-21, 2020
702020
Dispersion for data-driven algorithm design, online learning, and private optimization
MF Balcan, T Dick, E Vitercik
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018
602018
Real-time prediction learning for the simultaneous actuation of multiple prosthetic joints
PM Pilarski, TB Dick, RS Sutton
2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), 1-8, 2013
522013
Sepo: Selecting by pointing as an intuitive human-robot command interface
CP Quintero, RT Fomena, A Shademan, N Wolleb, T Dick, M Jagersand
2013 IEEE International Conference on Robotics and Automation, 1166-1171, 2013
502013
Differentially private covariance estimation
K Amin, T Dick, A Kulesza, A Munoz, S Vassilvitskii
Advances in Neural Information Processing Systems 32, 2019
472019
Envy-free classification
MFF Balcan, T Dick, R Noothigattu, AD Procaccia
Advances in Neural Information Processing Systems 32, 2019
402019
How much data is sufficient to learn high-performing algorithms? generalization guarantees for data-driven algorithm design
MF Balcan, D DeBlasio, T Dick, C Kingsford, T Sandholm, E Vitercik
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021
352021
Data-driven clustering via parameterized Lloyd's families
MFF Balcan, T Dick, C White
Advances in Neural Information Processing Systems 31, 2018
262018
Realtime Registration-Based Tracking via Approximate Nearest Neighbour Search.
T Dick, CP Quintero, M Jägersand, A Shademan
Robotics: Science and Systems, 2013
222013
Confidence-ranked reconstruction of census microdata from published statistics
T Dick, C Dwork, M Kearns, T Liu, A Roth, G Vietri, ZS Wu
Proceedings of the National Academy of Sciences 120 (8), e2218605120, 2023
192023
Semi-bandit optimization in the dispersed setting
MF Balcan, T Dick, W Pegden
Conference on Uncertainty in Artificial Intelligence, 909-918, 2020
172020
Learning to link
MF Balcan, T Dick, M Lang
arXiv preprint arXiv:1907.00533, 2019
172019
How many random restarts are enough
T Dick, E Wong, C Dann
URL: https://www. cs. cmu. edu/~ epxing/Class/10715-14f/projectreports …, 2014
172014
Learning piecewise Lipschitz functions in changing environments
D Sharma, MF Balcan, T Dick
International Conference on Artificial Intelligence and Statistics, 3567-3577, 2020
162020
How much data is sufficient to learn high-performing algorithms?
MF Balcan, D DeBlasio, T Dick, C Kingsford, T Sandholm, E Vitercik
not applicable-unpublished manuscript, 2019
162019
Data driven resource allocation for distributed learning
T Dick, M Li, VK Pillutla, C White, N Balcan, A Smola
Artificial Intelligence and Statistics, 662-671, 2017
152017
Policy gradient reinforcement learning without regret
TB Dick
112015
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