Следене
Daniel Lazar
Daniel Lazar
Research Scientist, Meta
Потвърден имейл адрес: fb.com
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Позовавания
Позовавания
Година
Capacity modeling and routing for traffic networks with mixed autonomy
DA Lazar, S Coogan, R Pedarsani
IEEE 56th Annual Conference on Decision and Control (CDC), 2017
672017
Learning how to dynamically route autonomous vehicles on shared roads
DA Lazar, E Bıyık, D Sadigh, R Pedarsani
Transportation research part C: emerging technologies 130, 103258, 2021
522021
Routing for traffic networks with mixed autonomy
DA Lazar, S Coogan, R Pedarsani
IEEE Transactions on Automatic Control 66 (6), 2664-2676, 2020
452020
Maximizing road capacity using cars that influence people
DA Lazar, K Chandrasekher, R Pedarsani, D Sadigh
2018 IEEE Conference on Decision and Control (CDC), 1801-1808, 2018
432018
The green choice: Learning and influencing human decisions on shared roads
E Biyik, DA Lazar, D Sadigh, R Pedarsani
IEEE Conference on Decision and Control, 2019
36*2019
Stop: A dataset for spoken task oriented semantic parsing
P Tomasello, A Shrivastava, D Lazar, PC Hsu, D Le, A Sagar, A Elkahky, ...
2022 IEEE Spoken Language Technology Workshop (SLT), 991-998, 2023
322023
Emergent prosociality in multi-agent games through gifting
WZ Wang, M Beliaev, E Bıyık, DA Lazar, R Pedarsani, D Sadigh
arXiv preprint arXiv:2105.06593, 2021
312021
Altruistic autonomy: Beating congestion on shared roads
E Bıyık, D Lazar, R Pedarsani, D Sadigh
Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018
312018
Incentivizing efficient equilibria in traffic networks with mixed autonomy
E Bıyık, DA Lazar, R Pedarsani, D Sadigh
IEEE Transactions on Control of Network Systems 8 (4), 1717-1729, 2021
222021
The price of anarchy for transportation networks with mixed autonomy
DA Lazar, S Coogan, R Pedarsani
2018 Annual American Control Conference (ACC), 6359-6365, 2018
212018
Optimal tolling for heterogeneous traffic networks with mixed autonomy
DA Lazar, S Coogan, R Pedarsani
IEEE Conference on Decision and Control, 2019
202019
Privately customizing prefinetuning to better match user data in federated learning
C Hou, H Zhan, A Shrivastava, S Wang, A Livshits, G Fanti, D Lazar
arXiv preprint arXiv:2302.09042, 2023
122023
Incentivizing routing choices for safe and efficient transportation in the face of the covid-19 pandemic
M Beliaev, E Bıyık, DA Lazar, WZ Wang, D Sadigh, R Pedarsani
Proceedings of the ACM/IEEE 12th International Conference on Cyber-Physical …, 2021
102021
Optimal tolling for multitype mixed autonomous traffic networks
DA Lazar, R Pedarsani
IEEE Control Systems Letters 5 (5), 1849-1854, 2020
92020
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
C Hou, A Shrivastava, H Zhan, R Conway, T Le, A Sagar, G Fanti, D Lazar
arXiv preprint arXiv:2406.02958, 2024
42024
Augmenting text for spoken language understanding with Large Language Models
R Sharma, S Kim, D Lazar, T Le, A Shrivastava, K Ahn, P Kansal, L Sari, ...
arXiv preprint arXiv:2309.09390, 2023
12023
The role of differentiation in tolling of traffic networks with mixed autonomy
DA Lazar, R Pedarsani
arXiv preprint arXiv:2103.13553, 2021
12021
Emergent correlated equilibrium through synchronized exploration
M Beliaev, WZ Wang, DA Lazar, E Biyik, D Sadigh, R Pedarsani
RSS 2020 Workshop on Emergent Behaviors in Human-Robot Systems, 2020
12020
PRoDeliberation: Parallel Robust Deliberation for End-to-End Spoken Language Understanding
T Le, D Lazar, S Kim, S Jiang, D Le, A Sagar, A Livshits, A Aly, ...
arXiv preprint arXiv:2406.07823, 2024
2024
Improving Spoken Semantic Parsing using Synthetic Data from Large Generative Models
R Sharma, S Kim, D Lazar, T Le, A Shrivastava, K An, P Kansal, L Sari, ...
Proc. SynData4GenAI 2024, 71-75, 2024
2024
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