Aritra Mitra
Computer Science · Purdue University West Lafayette
Publications
114
Citations
1,410
Est. group size
~1
Recurring co-author estimate
Active years
26
Publishing since 2001
Aritra Mitra works on the mathematical foundations of distributed and multi-agent learning and control systems, including reinforcement learning, stochastic approximation, and system identification, often under practical constraints like communication delays, unreliable data, or adversarial noise. Much of the work provides theoretical finite-time guarantees for how quickly these algorithms converge, especially in settings where multiple agents or federated systems learn together over networks.
Publication output has grown over the last decade, rising from about 1 paper in 2017 to a peak of 20 in 2024, with continued strong activity (10.4 papers/year on average over the last five years).
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A Short and Unified Convergence Analysis of the SAG, SAGA, and IAG Algorithms
Open MIND · 2026
- A Short and Unified Convergence Analysis of the SAG, SAGA, and IAG Algorithms
arXiv (Cornell University) · 2026
- Parameterized Complexity of Finding a Maximum Common Vertex Subgraph Without Isolated Vertices
Open MIND · 2026
- Parameterized Complexity of Finding a Maximum Common Vertex Subgraph Without Isolated Vertices
arXiv (Cornell University) · 2026
- On model-free learning over rate-limited channels: The linear quadratic regulator case
Automatica · 2026
- Quality assurance and quality control of the $$26~\text {m}^2$$ SiPM production for the DarkSide-20k dark matter experiment
The European Physical Journal C · 2025
- Production, quality assurance and quality control of the SiPM Tiles for the DarkSide-20k Time Projection Chamber
The European Physical Journal C · 2025
- Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits
arXiv (Cornell University) · 2025
- Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise
arXiv (Cornell University) · 2025
- Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling
arXiv (Cornell University) · 2025
- Boosting-Enabled Robust System Identification of Partially Observed LTI Systems Under Heavy-Tailed Noise
2025
- Distributed Stochastic Approximation with Constant Communication
2025
- Constraints on directionality effect of nuclear recoils in a liquid argon time projection chamber
The European Physical Journal C · 2024
- Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
arXiv (Cornell University) · 2024
- Min-Max Optimization Under Delays
2024
- arXiv (Cornell University)×41
- Automatica×4
- The European Physical Journal C×4
- IEEE Transactions on Automatic Control×3
- 2021 60th IEEE Conference on Decision and Control (CDC)×2
- Pramod K. Varshney
Computer Science · The Ohio State University
- Abolfazl Hashemi
Computer Science · Purdue University West Lafayette
- Jiayu Pan
Computer Science · The Ohio State University
- Sunjung Kang
Computer Science · The Ohio State University
- Shreyas Sundaram
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile