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Career

· Researcher, University of California, Berkeley

Publications (26)

Top-K Off-Policy Correction for a REINFORCE Recommender System
Web Search and Data Mining · 2018
514
cited
Kubric: A scalable dataset generator
Computer Vision and Pattern Recognition · 2022
366
cited
Expert Level Control of Ramp Metering Based on Multi-Task Deep Reinforcement Learning
IEEE transactions on intelligent transportation systems (Print) · 2017
144
cited
Towards Neural Mixture Recommender for Long Range Dependent User Sequences
The Web Conference · 2019
96
cited
Optimal Charging of Electric Vehicles for Load Shaping: A Dual-Splitting Framework With Explicit Convergence Bounds
IEEE Transactions on Transportation Electrification · 2016
76
cited
Prediction of traffic convective instability with spectral analysis of the Aw-Rascle-Zhang model
2015
44
cited
Distributed optimal charging of electric vehicles for demand response and load shaping
IEEE Conference on Decision and Control · 2015
37
cited
Categorical-attributes-based item classification for recommender systems
ACM Conference on Recommender Systems · 2018
30
cited
Quantifying Long Range Dependence in Language and User Behavior to improve RNNs
Knowledge Discovery and Data Mining · 2019
26
cited
Tensor Processing Units for Financial Monte Carlo
PP · 2019
23
cited
Factorized Recurrent Neural Architectures for Longer Range Dependence
International Conference on Artificial Intelligence and Statistics · 2018
22
cited
Scalable Realistic Recommendation Datasets through Fractal Expansions
arXiv.org · 2019
21
cited
Privacy-preserving MaaS fleet management
Transportation Research Part C: Emerging Technologies · 2018
15
cited
Random projection design for scalable implicit smoothing of randomly observed stochastic processes
International Conference on Artificial Intelligence and Statistics · 2017
7
cited
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions
arXiv.org · 2019
5
cited
Categorical-Attributes-Based Multi-Level Classification for Recommender Systems
2018
3
cited
Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies
arXiv.org · 2016
3
cited
Characterization of the convective instability of the Aw-Rascle-Zhang model via spectral analysis
American Control Conference · 2016
2
cited
Embarrassingly Parallel Time Series Analysis for Large Scale Weak Memory Systems
arXiv.org · 2015
2
cited
Privacy-preserving dual splitting distributed optimization with application to load flattening in California
IEEE Conference on Decision and Control · 2015
2
cited
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Francois Belletti | Researcher Profile | Sotabase | Sotabase