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ORCIDDaniel Vial
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2020 – today
- 2023
[c10]Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant:
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits. ICML 2023: 4189-4217- [c9]Daniel Vial
, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Bandits Over Undirected Graphs. SIGMETRICS (Abstracts) 2023: 67-68 - [i12]Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant:
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits. CoRR abs/2305.18784 (2023) - 2022
- [j5]Daniel Vial, Vijay G. Subramanian:
Local Non-Bayesian Social Learning With Stubborn Agents. IEEE Trans. Control. Netw. Syst. 9(3): 1178-1188 (2022) - [c8]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Improved Algorithms for Misspecified Linear Markov Decision Processes. AISTATS 2022: 4723-4746 - [c7]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. ICML 2022: 22203-22233 - [c6]Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant:
Minimax Regret for Cascading Bandits. NeurIPS 2022 - [i11]Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Bandits Over Undirected Graphs. CoRR abs/2203.00076 (2022) - [i10]Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant:
Minimax Regret for Cascading Bandits. CoRR abs/2203.12577 (2022) - 2021
- [j4]Daniel Vial, Vijay G. Subramanian:
Empirical Policy Evaluation With Supergraphs. IEEE J. Sel. Areas Inf. Theory 2(2): 641-651 (2021) - [j3]Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Bandits Over Undirected Graphs. Proc. ACM Meas. Anal. Comput. Syst. 6(3): 53:1-53:57 (2021) - [c5]Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Multi-Armed Bandits. MobiHoc 2021: 161-170 - [i9]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. CoRR abs/2105.01593 (2021) - [i8]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Improved Algorithms for Misspecified Linear Markov Decision Processes. CoRR abs/2109.05546 (2021) - 2020
- [i7]Daniel Vial, Vijay G. Subramanian:
Empirical Policy Evaluation with Supergraphs. CoRR abs/2002.07905 (2020) - [i6]Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Multi-Armed Bandits. CoRR abs/2007.03812 (2020) - [i5]Daniel Vial, Sanjay Shakkottai, R. Srikant:
One-bit feedback is sufficient for upper confidence bound policies. CoRR abs/2012.02876 (2020)
2010 – 2019
- 2019
- [j2]Daniel Vial, Vijay G. Subramanian:
A Structural Result for Personalized PageRank and its Algorithmic Consequences. Proc. ACM Meas. Anal. Comput. Syst. 3(2): 25:1-25:88 (2019) - [j1]Daniel Vial, Vijay G. Subramanian:
On the Role of Clustering in Personalized PageRank Estimation. ACM Trans. Model. Perform. Evaluation Comput. Syst. 4(4): 21:1-21:33 (2019) - [c4]Daniel Vial, Vijay G. Subramanian:
Local Non-Bayesian Social Learning with Stubborn Agents*. Allerton 2019: 902-903 - [c3]Daniel Vial, Vijay G. Subramanian:
Local Non-Bayesian Social Learning with Stubborn Agents. EC 2019: 551-552 - [c2]Daniel Vial, Vijay G. Subramanian:
A Structural Result for Personalized PageRank and its Algorithmic Consequences. SIGMETRICS (Abstracts) 2019: 39-40 - [i4]Daniel Vial, Vijay G. Subramanian:
Local non-Bayesian social learning with stubborn agents. CoRR abs/1904.12767 (2019) - [i3]Daniel Vial, Vijay G. Subramanian:
Restart perturbations for lazy, reversible Markov chains: trichotomy and pre-cutoff equivalence. CoRR abs/1907.02926 (2019) - 2018
- [i2]Daniel Vial, Vijay G. Subramanian:
Personalized PageRank dimensionality and algorithmic implications. CoRR abs/1804.02949 (2018) - 2017
- [i1]Daniel Vial, Vijay G. Subramanian:
Efficient Personalized PageRank Estimation for Many Sources and Many Targets. CoRR abs/1706.01091 (2017) - 2016
- [c1]Daniel Vial, Vijay G. Subramanian:
Towards fast algorithms for estimating Personalized PageRank using commonly generated random walks. Allerton 2016: 852-855
Coauthor Index
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