Zheng Wen

Affiliations:
  • DeepMind, USA
  • Stanford University, USA (PhD 2013)


According to our database1, Zheng Wen authored at least 32 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping.
Trans. Mach. Learn. Res., 2023

Reinforcement Learning, Bit by Bit.
Found. Trends Mach. Learn., 2023

RLHF and IIA: Perverse Incentives.
CoRR, 2023

Efficient Online Learning with Offline Datasets for Infinite Horizon MDPs: A Bayesian Approach.
CoRR, 2023

Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale.
CoRR, 2023

Approximate Thompson Sampling via Epistemic Neural Networks.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Epistemic Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Leveraging Demonstrations to Improve Online Learning: Quality Matters.
Proceedings of the International Conference on Machine Learning, 2023

2022
Robustness of Epinets against Distributional Shifts.
CoRR, 2022

Evaluating high-order predictive distributions in deep learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

An Analysis of Ensemble Sampling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Neural Testbed: Evaluating Joint Predictions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?
CoRR, 2021

Evaluating Probabilistic Inference in Deep Learning: Beyond Marginal Predictions.
CoRR, 2021

Epistemic Neural Networks.
CoRR, 2021

2020
Low-rank Tensor Bandits.
CoRR, 2020

On Efficiency in Hierarchical Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hypermodels for Exploration.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Deep Exploration via Randomized Value Functions.
J. Mach. Learn. Res., 2019

Bootstrapping Upper Confidence Bound.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
A Tutorial on Thompson Sampling.
Found. Trends Mach. Learn., 2018

2017
Efficient Reinforcement Learning in Deterministic Systems with Value Function Generalization.
Math. Oper. Res., 2017

2016
Generalization and Exploration via Randomized Value Functions.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
A new incompressibility discretization for a hybrid particle MAC grid representation with surface tension.
J. Comput. Phys., 2015

2014
Generalization and Exploration via Randomized Value Functions.
CoRR, 2014

2013
A new incompressibility discretization for a hybrid particle MAC grid representation with surface tension.
PhD thesis, 2013

Efficient Exploration and Value Function Generalization in Deterministic Systems.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Semi-implicit surface tension formulation with a Lagrangian surface mesh on an Eulerian simulation grid.
J. Comput. Phys., 2012

2011
Asynchronous Evolution for Fully-Implicit and Semi-Implicit Time Integration.
Comput. Graph. Forum, 2011

2010
A novel algorithm for incompressible flow using only a coarse grid projection.
ACM Trans. Graph., 2010

On the Dynamic Response of a Saturating Static Feedback-Controlled Single Integrator Driven by White Noise.
IEEE Trans. Autom. Control., 2010

2008
On the disturbance response and external stability of a saturating static-feedback-controlled double integrator.
Autom., 2008


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