Arnab Maiti
Scholar

Arnab Maiti

Google Scholar ID: cy9QSHoAAAAJ
PhD student ,CSE, University of Washington
Learning TheoryGame Theory
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Citations & Impact
All-time
Citations
164
 
H-index
8
 
i10-index
7
 
Publications
19
 
Co-authors
0
 
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Publications
8 items
Revisiting the Bertrand Paradox via Equilibrium Analysis of No-regret Learners
2026
Cited
0
Efficient Uncoupled Learning Dynamics with $\tilde{O}\!\left(T^{-1/4}\right)$ Last-Iterate Convergence in Bilinear Saddle-Point Problems over Convex Sets under Bandit Feedback
2026
Cited
0
Adversarial Learning in Games with Bandit Feedback: Logarithmic Pure-Strategy Maximin Regret
2026
Cited
0
On the Universal Near Optimality of Hedge in Combinatorial Settings
2025
Cited
0
Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback
2025
Cited
0
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
2025
Cited
0
Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries
2025
Cited
0
Logarithmic Regret for Matrix Games against an Adversary with Noisy Bandit Feedback
arXiv.org · 2023
Cited
4
Resume (English only)
Co-authors
0 total
Co-authors: 0 (list not available)