Rasool Fakoor

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 36

Top Topics

Recognition Accuracy

Quantile Regression

Reinforcement Learning

Kernel Density Estimates

Top Venues

Publications

Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor
EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data. CoRR (2024)
Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. ICLR (2024)
Kavosh Asadi, Yao Liu, Shoham Sabach, Ming Yin, Rasool Fakoor
Learning the Target Network in Function Space. CoRR (2024)
Rasool Fakoor, Jonas Mueller, Zachary Chase Lipton, Pratik Chaudhari, Alex Smola
Time-Varying Propensity Score to Bridge the Gap between the Past and Present. ICLR (2024)
Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor
TD Convergence: An Optimization Perspective. CoRR (2023)
Yao Liu, Pratik Chaudhari, Rasool Fakoor
Budgeting Counterfactual for Offline RL. CoRR (2023)
Yao Liu, Pratik Chaudhari, Rasool Fakoor
Budgeting Counterfactual for Offline RL. NeurIPS (2023)
Rasool Fakoor, Taesup Kim, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani
Flexible Model Aggregation for Quantile Regression. J. Mach. Learn. Res. 24 (2023)
Kavosh Asadi, Shoham Sabach, Yao Liu, Omer Gottesman, Rasool Fakoor
TD Convergence: An Optimization Perspective. NeurIPS (2023)
Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. CoRR (2023)
Kavosh Asadi, Rasool Fakoor, Shoham Sabach
Resetting the Optimizer in Deep RL: An Empirical Study. CoRR (2023)
Kavosh Asadi, Rasool Fakoor, Shoham Sabach
Resetting the Optimizer in Deep RL: An Empirical Study. NeurIPS (2023)
Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor
Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges. CoLLAs (2023)
Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Taesup Kim, Michael L. Littman, Alexander J. Smola
Faster Deep Reinforcement Learning with Slower Online Network. NeurIPS (2022)
Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor
Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline. CoRR (2022)
Rasool Fakoor, Jonas Mueller, Zachary C. Lipton, Pratik Chaudhari, Alexander J. Smola
Data drift correction via time-varying importance weight estimator. CoRR (2022)
Martin Klissarov, Rasool Fakoor, Jonas W. Mueller, Kavosh Asadi, Taesup Kim, Alexander J. Smola
Adaptive Interest for Emphatic Reinforcement Learning. NeurIPS (2022)
Kavosh Asadi, Rasool Fakoor, Omer Gottesman, Michael L. Littman, Alexander J. Smola
Deep Q-Network with Proximal Iteration. CoRR (2021)
Rasool Fakoor, Jonas Mueller, Pratik Chaudhari, Alexander J. Smola
Continuous Doubly Constrained Batch Reinforcement Learning. CoRR (2021)
Rasool Fakoor, Jonas Mueller, Kavosh Asadi, Pratik Chaudhari, Alexander J. Smola
Continuous Doubly Constrained Batch Reinforcement Learning. NeurIPS (2021)
Taesup Kim, Rasool Fakoor, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani
Deep Quantile Aggregation. CoRR (2021)
Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation. NeurIPS (2020)
Rasool Fakoor, Pratik Chaudhari, Jonas Mueller, Alexander J. Smola
TraDE: Transformers for Density Estimation. CoRR (2020)
Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola
Meta-Q-Learning. ICLR (2020)
Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola
DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning. CoRR (2020)
Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation. CoRR (2020)
Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola
P3O: Policy-on Policy-off Policy Optimization. UAI (2019)
Rasool Fakoor, Pratik Chaudhari, Alexander J. Smola
P3O: Policy-on Policy-off Policy Optimization. CoRR (2019)
Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola
Meta-Q-Learning. CoRR (2019)
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy. ICASSP (2018)
Thomas Powers, Rasool Fakoor, Siamak Shakeri, Abhinav Sethy, Amanjit Kainth, Abdel-rahman Mohamed, Ruhi Sarikaya
Differentiable Greedy Networks. CoRR (2018)
Rasool Fakoor, Amanjit Kainth, Siamak Shakeri, Christopher Winestock, Abdel-rahman Mohamed, Ruhi Sarikaya
Direct optimization of F-measure for retrieval-based personal question answering. CoRR (2018)
Rasool Fakoor, Amanjit Kainth, Siamak Shakeri, Christopher Winestock, Abdel-rahman Mohamed, Ruhi Sarikaya
Direct Optimization of F-Measure for Retrieval-Based Personal Question Answering. SLT (2018)
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
Constrained Convolutional-Recurrent Networks to Improve Speech Quality with Low Impact on Recognition Accuracy. CoRR (2018)
Rasool Fakoor, Xiaodong He, Ivan Tashev, Shuayb Zarar
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality. CoRR (2017)
Rasool Fakoor, Abdel-rahman Mohamed, Margaret Mitchell, Sing Bing Kang, Pushmeet Kohli
Memory-augmented Attention Modelling for Videos. CoRR (2016)
Rasool Fakoor, Manfred Huber
A Sampling-Based Approach to Reducing the Complexity of Continuous State Space POMDPs by Decomposition Into Coupled Perceptual and Decision Processes. ICMLA (1) (2012)
Rasool Fakoor, Mayank Raj, Azade Nazi, Mario Di Francesco, Sajal K. Das
An integrated cloud-based framework for mobile phone sensing. MCC@SIGCOMM (2012)
Rasool Fakoor, Manfred Huber
Improving tractability of POMDPs by separation of decision and perceptual processes. SMC (2012)