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Anirudha Majumdar

31 papers · 2013–2026 · 8 venues · across top CS/AI venues

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Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (45) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (2) 🌈 Renaissance Researcher (7) πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (2) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (140)

Venues

CoRL (13) RSS (8) L4DC (3) ICML (2) NeurIPS (2) AAAI (1) EACL (1) ICLR (1)

Top co-authors

Allen Z. Ren (8) Sushant Veer (4) David Snyder (4) Justin Lidard (3) Sumeet Singh (3) Meghan Booker (3) Vincent Pacelli (3) Zhiting Mei (3) Elad Hazan (3) Anushri Dixit (3)

Research topics

Machine Learning (20) Artificial Intelligence (15) Optimization & Theory (15) Reinforcement Learning (13) Core AI (11) Methods (8) Applications (7) Robotics (6) Capabilities (6) Learning Types (6) Deep Learning (5) Application Areas (4) Learning Paradigms (4) Models (4) Computer Vision (3)

Keywords

generalization guarantee (5) reinforcement learning (5) conformal prediction (4) imitation learning (3) uncertainty quantification (3) statistical guarantee (2) convex optimization (2) large language model (2) pac-bayesian theory (2) online learning (2) set-valued prediction (2) regret minimization (2) policy learning (2) policy gradient (2) sim-to-real transfer (2) generalization bound (2) gaussian splatting (2) robot learning (2) obstacle avoidance (2) decision making (1)

Papers

Reasoning about Uncertainty: Do Reasoning Models Know When They Don’t Know? EACL 2026 Diffusion Policy Policy Optimization ICLR 2025 Generating Robot Constitutions & Benchmarks for Semantic Safety CoRL 2025 Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping RSS 2025 Predictive Red Teaming: Breaking Policies Without Breaking Robots CoRL 2025 SIREN: Semantic, Initialization-Free Registration of Multi-Robot Gaussian Splatting Maps CoRL 2025 WoMAP: World Models For Embodied Open-Vocabulary Object Localization CoRL 2025 Explore until Confident: Efficient Exploration for Embodied Question Answering RSS 2024 Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception CoRL 2024 Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction RSS 2024 Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint) AAAI 2024 AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer CoRL 2023 Fundamental Tradeoffs in Learning with Prior Information ICML 2023 Online Learning for Obstacle Avoidance CoRL 2023 PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction NeurIPS 2023 Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners CoRL 2023 Failure Prediction with Statistical Guarantees for Vision-Based Robot Control RSS 2022 Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning RSS 2022 Leveraging Language for Accelerated Learning of Tool Manipulation CoRL 2022 A Regret Minimization Approach to Iterative Learning Control ICML 2021 Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability NeurIPS 2021 Generating Adversarial Disturbances for Controller Verification L4DC 2021 Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning L4DC 2021 Learning to Actively Reduce Memory Requirements for Robot Control Tasks L4DC 2021 Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning CoRL 2021 Generalization Guarantees for Imitation Learning CoRL 2020 Learning Task-Driven Control Policies via Information Bottlenecks RSS 2020 Probably Approximately Correct Vision-Based Planning using Motion Primitives CoRL 2020 PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments CoRL 2018 Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models RSS 2017 Convex Optimization of Nonlinear Feedback Controllers via Occupation Measures RSS 2013