Rasool Fakoor - RankMe

51 papers A* 12A 1B 1Misc 3Journal 30Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Understanding the Challenges in Iterative Generative Optimization with LLMs. CoRR Allen Nie, Xavier Daull, Zhiyi Kuang, Abhinav Akkiraju, Anish Chaudhuri, Max Piasevoli, Ryan Rong, Yucheng Yuan, Prerit Choudhary, Shannon Xiao, Rasool Fakoor, Adith Swaminathan, Ching-An Cheng
2025	A*	`conf`	AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. ICLR Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala
2025	J	`jnl`	Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens. Trans. Mach. Learn. Res. Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor
2025	J	`jnl`	From Demonstrations to Rewards: Alignment Without Explicit Human Preferences. CoRR Siliang Zeng, Yao Liu, Huzefa Rangwala, George Karypis, Mingyi Hong, Rasool Fakoor
2025	J	`jnl`	Offline Learning and Forgetting for Reasoning with Large Language Models. Trans. Mach. Learn. Res. Tianwei Ni, Allen Nie, Sapana Chaudhary, Yao Liu, Huzefa Rangwala, Rasool Fakoor
2025	J	`jnl`	Teaching Large Language Models to Reason through Learning and Forgetting. CoRR Tianwei Ni, Allen Nie, Sapana Chaudhary, Yao Liu, Huzefa Rangwala, Rasool Fakoor
2024	J	`jnl`	AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents. CoRR Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala
2024	Misc	`conf`	AlphaRouter: Quantum Circuit Routing with Reinforcement Learning and Tree Search. QCE Wei Tang, Yiheng Duan, Yaroslav Kharkov, Rasool Fakoor, Eric Kessler, Yunong Shi
2024	J	`jnl`	AlphaRouter: Quantum Circuit Routing with Reinforcement Learning and Tree Search. CoRR Wei Tang, Yiheng Duan, Yaroslav Kharkov, Rasool Fakoor, Eric Kessler, Yunong Shi
2024	J	`jnl`	Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens. CoRR Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor
2024	Misc	`conf`	EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data. CoRL Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor
2024	J	`jnl`	EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data. CoRR Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor
2024	A*	`conf`	Learning the Target Network in Function Space. ICML Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor
2024	J	`jnl`	Learning the Target Network in Function Space. CoRR Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor
2024	A*	`conf`	TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. ICLR Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
2024	A*	`conf`	Time-Varying Propensity Score to Bridge the Gap between the Past and Present. ICLR Rasool Fakoor, Jonas Mueller, Zachary Chase Lipton, Pratik Chaudhari, Alex Smola
2023	A*	`conf`	Budgeting Counterfactual for Offline RL. NeurIPS Yao Liu, Pratik Chaudhari, Rasool Fakoor
2023	J	`jnl`	Budgeting Counterfactual for Offline RL. CoRR Yao Liu, Pratik Chaudhari, Rasool Fakoor
2023	J	`jnl`	Flexible Model Aggregation for Quantile Regression. J. Mach. Learn. Res. Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani
2023	A*	`conf`	Resetting the Optimizer in Deep RL: An Empirical Study. NeurIPS Kavosh Asadi, Rasool Fakoor, Shoham Sabach
2023	J	`jnl`	Resetting the Optimizer in Deep RL: An Empirical Study. CoRR Kavosh Asadi, Rasool Fakoor, Shoham Sabach
2023	J	`jnl`	TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. CoRR Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
2023	A*	`conf`	TD Convergence: An Optimization Perspective. NeurIPS Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor
2023	J	`jnl`	TD Convergence: An Optimization Perspective. CoRR Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor
2023	—	`conf`	Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges. CoLLAs Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor
2022	A*	`conf`	Adaptive Interest for Emphatic Reinforcement Learning. NeurIPS Martin Klissarov, Rasool Fakoor, Jonas W. Mueller, Kavosh Asadi, Taesup Kim, Alexander J. Smola
2022	J	`jnl`	Data drift correction via time-varying importance weight estimator. CoRR Rasool Fakoor, Jonas Mueller, Zachary C. Lipton, Pratik Chaudhari, Alexander J. Smola
2022	A*	`conf`	Faster Deep Reinforcement Learning with Slower Online Network. NeurIPS Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Taesup Kim, Michael L. Littman, Alexander J. Smola
2022	J	`jnl`	Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline. CoRR Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor
2021	A*	`conf`	Continuous Doubly Constrained Batch Reinforcement Learning. NeurIPS Rasool Fakoor, Jonas Mueller, Kavosh Asadi, Pratik Chaudhari, Alexander J. Smola
2021	J	`jnl`	Continuous Doubly Constrained Batch Reinforcement Learning. CoRR Rasool Fakoor, Jonas Mueller, Pratik Chaudhari, Alexander J. Smola
2021	J	`jnl`	Deep Q-Network with Proximal Iteration. CoRR Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Michael L. Littman, Alexander J. Smola
2021	J	`jnl`	Deep Quantile Aggregation. CoRR Taesup Kim, Rasool Fakoor, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani
2020	J	`jnl`	DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning. CoRR Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola
2020	A*	`conf`	Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation. NeurIPS Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola
2020	J	`jnl`	Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation. CoRR Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola
2020	A*	`conf`	Meta-Q-Learning. ICLR Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola
2020	J	`jnl`	TraDE: Transformers for Density Estimation. CoRR Rasool Fakoor, Pratik Chaudhari, Jonas Mueller, Alexander J. Smola
2019	J	`jnl`	Meta-Q-Learning. CoRR Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola
2019	A	`conf`	P3O: Policy-on Policy-off Policy Optimization. UAI Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola
2019	J	`jnl`	P3O: Policy-on Policy-off Policy Optimization. CoRR Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola
2018	Misc	`conf`	Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy. ICASSP Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
2018	J	`jnl`	Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy. CoRR Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
2018	J	`jnl`	Differentiable Greedy Networks. CoRR Thomas Powers, Rasool Fakoor, Siamak Shakeri, Abhinav Sethy, Amanjit Kainth, Abdel-rahman Mohamed, Ruhi Sarikaya
2018	—	`conf`	Direct Optimization of F-Measure for Retrieval-Based Personal Question Answering. SLT Rasool Fakoor, Amanjit Kainth, Siamak Shakeri, Christopher Winestock, Abdel-rahman Mohamed, Ruhi Sarikaya
2018	J	`jnl`	Direct optimization of F-measure for retrieval-based personal question answering. CoRR Rasool Fakoor, Amanjit Kainth, Siamak Shakeri, Christopher Winestock, Abdel-rahman Mohamed, Ruhi Sarikaya
2017	J	`jnl`	Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality. CoRR Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
2016	J	`jnl`	Memory-augmented Attention Modelling for Videos. CoRR Rasool Fakoor, Abdel-rahman Mohamed, Margaret Mitchell, Sing Bing Kang, Pushmeet Kohli
2012	—	`conf`	A Sampling-Based Approach to Reducing the Complexity of Continuous State Space POMDPs by Decomposition Into Coupled Perceptual and Decision Processes. ICMLA (1) Rasool Fakoor, Manfred Huber
2012	—	`conf`	An integrated cloud-based framework for mobile phone sensing. MCC@SIGCOMM Rasool Fakoor, Mayank Raj, Azade Nazi, Mario Di Francesco, Sajal K. Das
2012	B	`conf`	Improving tractability of POMDPs by separation of decision and perceptual processes. SMC Rasool Fakoor, Manfred Huber