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Haitham Bou Ammar

23 papers · 2013–2025 · 7 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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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (39) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (10) πŸ‘₯ Mega-Team Β· Squad 🧬 Topic Evolution πŸ† Grand Slam πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (8) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (104)

Venues

NeurIPS (9) ICLR (4) ICML (4) IJCAI (3) AAAI (1) CoRL (1) EMNLP (1)

Top co-authors

Jun Wang (10) Rasul Tutunov (4) Eric Eaton (3) Gerasimos Lampouras (3) Antoine Grosnit (3) Aivar Sootla (2) Matthieu Zimmer (2) Jan Peters (2) Lisheng Wu (2) Cedric Malherbe (2)

Research topics

Machine Learning (15) Artificial Intelligence (12) Optimization & Theory (10) Reinforcement Learning (9) Core AI (8) Methods (7) Mathematics & Optimization (4) Applications (4) Learning Types (4) Natural Language Processing (3) Bayesian & Probabilistic Β· Machine Learning (3) Optimization (3) Resources & Methods (3) Application Areas (2) Bayesian & Probabilistic Β· Artificial Intelligence (2)

Keywords

reinforcement learning (6) large language model (4) bayesian optimization (3) variational inference (3) combinatorial optimization (3) sequential decision making (2) policy learning (2) policy gradient (2) safe exploration (2) constraint satisfaction (2) safe learning (2) quadrotor control (2) multi-task learning (1) bayesian inference (1) principal component analysis (1) sample efficiency (1) transformer architecture (1) distributed learning (1) black-box optimization (1) preference optimization (1)

Papers

Efficient Reinforcement Learning with Large Language Model Priors ICLR 2025 Human-inspired Episodic Memory for Infinite Context LLMs ICLR 2025 Mixture of Attentions For Speculative Decoding ICLR 2025 SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks EMNLP 2025 A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics NeurIPS 2024 Group Robust Preference Optimization in Reward-free RLHF NeurIPS 2024 Measures of diversity and space-filling designs for categorical data ICML 2024 Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023 End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes NeurIPS 2023 Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization NeurIPS 2023 Online PCA in Converging Self-consistent Field Equations NeurIPS 2023 Enhancing Safe Exploration Using Safety State Augmentation NeurIPS 2022 Optimistic Tree Searches for Combinatorial Black-Box Optimization NeurIPS 2022 Reinforcement Learning in Presence of Discrete Markovian Context Evolution ICLR 2022 Robot Reinforcement Learning on the Constraint Manifold CoRL 2021 Learning to Communicate Implicitly by Actions AAAI 2020 Multi-View Reinforcement Learning NeurIPS 2019 Distributed Multitask Reinforcement Learning with Quadratic Convergence NeurIPS 2018 Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer IJCAI 2016 Autonomous Cross-Domain Knowledge Transfer in Lifelong Policy Gradient Reinforcement Learning IJCAI 2015 Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret ICML 2015 Online Multi-Task Learning for Policy Gradient Methods ICML 2014 Conditional Restricted Boltzmann Machines for Negotiations in Highly Competitive and Complex Domains IJCAI 2013