Siva Theja Maguluri

8 papers · 2020–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

🏆 Keyword Champion (4)

Venues

ICML (3) NeurIPS (3) AISTATS (2)

Top co-authors

Zaiwei Chen (4) Sanjay Shakkottai (2) Sajad Khodadadian (2) Karthikeyan Shanmugam (2) Gauri Joshi (1) Prashanth L A (1) Sheng Zhang (1) Shaan Ul Haque (1) Zhe Zhang (1) Shubhada Agrawal (1)

Research topics

Machine Learning (6) Reinforcement Learning (6) Methods (6) Optimization & Theory (6) Learning Types (3) Artificial Intelligence (1) Mathematics & Optimization (1) Learning Paradigms · Artificial Intelligence (1) Learning Paradigms · Machine Learning (1) Optimization (1)

Keywords

temporal difference learning (5) finite-sample analysis (4) stochastic approximation (3) policy evaluation (3) linear function approximation (2) off-policy learning (2) sample complexity (2) optimality bounds (1) asymptotic variance (1) communication efficiency (1) temporal difference (1) bellman operator (1) contraction mapping (1) markovian sampling (1) td learning (1) policy-based method (1) finite-time bound (1) average-reward reinforcement learning (1) finite sample bound (1) linear speedup (1)

Papers

Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem AISTATS 2025 Policy Evaluation for Variance in Average Reward Reinforcement Learning ICML 2024 Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling ICML 2022 Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation AISTATS 2022 Finite Sample Analysis of Average-Reward TD Learning and Q-Learning NeurIPS 2021 Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm ICML 2021 Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators NeurIPS 2021 Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes NeurIPS 2020