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Debmalya Mandal

22 papers · 2016–2025 · 6 venues · across top CS/AI venues

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Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (37) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (5) 🀝 Dynamic Duo (12) 🧬 Topic Evolution 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (112)

Venues

AISTATS (6) NeurIPS (6) AAAI (4) ICML (3) IJCAI (2) UAI (1)

Top co-authors

Goran Radanovic (12) Adish Singla (5) Andi Nika (4) Long Tran-Thanh (4) Parameswaran Kamalaruban (3) Stelios Triantafyllou (3) The Anh Ta (2) Hau Chan (2) Jiarui Gan (2) Samuel Deng (2)

Research topics

Machine Learning (16) Artificial Intelligence (13) Core AI (11) Reinforcement Learning (10) Learning Types (10) Methods (9) Mathematics & Optimization (8) Optimization (8) Optimization & Theory (6) Core Methods (3) Learning Paradigms (2) Computer Science (1) Deep Learning (1) Knowledge & Reasoning (1) Application Areas (1)

Keywords

performative reinforcement learning (5) regret bound (3) sample complexity (3) direct preference optimization (2) value iteration (2) reward model (2) offline reinforcement learning (2) reinforcement learning (2) reinforcement learning from human feedback (2) online learning (2) ground truth recovery (2) transfer learning (1) few-shot learning (1) game theory (1) policy optimization (1) data poisoning (1) robust optimization (1) multi-agent reinforcement learning (1) model selection (1) adversarial learning (1)

Papers

Corruption Robust Offline Reinforcement Learning with Human Feedback AISTATS 2025 Independent Learning in Performative Markov Potential Games AISTATS 2025 On Corruption-Robustness in Performative Reinforcement Learning AAAI 2025 Performative Reinforcement Learning with Linear Markov Decision Process AISTATS 2025 Policy Teaching via Data Poisoning in Learning from Human Preferences AISTATS 2025 Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs ICML 2024 Corruption-Robust Offline Two-Player Zero-Sum Markov Games AISTATS 2024 Learning the Expected Core of Strictly Convex Stochastic Cooperative Games NeurIPS 2024 Performative Reinforcement Learning in Gradually Shifting Environments UAI 2024 Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences ICML 2024 Symmetric Linear Bandits with Hidden Symmetry NeurIPS 2024 The Surprising Effectiveness of SP Voting with Partial Preferences NeurIPS 2024 Markov Decision Processes with Time-Varying Geometric Discounting AAAI 2023 Online Reinforcement Learning with Uncertain Episode Lengths AAAI 2023 Performative Reinforcement Learning ICML 2023 Learning Tensor Representations for Meta-Learning AISTATS 2022 Sequential Blocked Matching AAAI 2022 Surprisingly Popular Voting Recovers Rankings, Surprisingly! IJCAI 2021 Adversarial Blocking Bandits NeurIPS 2020 Ensuring Fairness Beyond the Training Data NeurIPS 2020 Efficient and Thrifty Voting by Any Means Necessary NeurIPS 2019 Correlated Voting IJCAI 2016