Sattar Vakili
24 papers · 2019–2025 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 42% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Sattar Vakili?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Alberto Bernacchia, Da-shan Shiu, Farhang Nabiei
10 papers
· 2021–2025
· ICML, AISTATS, ICLR
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Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds
ICML 2025
Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning
AISTATS 2025
Reward-Free Kernel-Based Reinforcement Learning
ICML 2024
Delayed Feedback in Kernel Bandits
ICML 2023
Fisher-Legendre (FishLeg) optimization of deep neural networks
ICLR 2023
Image generation with shortest path diffusion
ICML 2023
Sample Complexity of Kernel-Based Q-Learning
AISTATS 2023
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
ICML 2022
Open Problem: Tight Online Confidence Intervals for RKHS Elements
COLT 2021
Optimal Order Simple Regret for Gaussian Process Bandits
NeurIPS 2021
6 papers whose co-authors appear nowhere else under this name
Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning
COLT 2024
Optimal Regret Bounds for Collaborative Learning in Bandits
ALT 2024
Near-Optimal Collaborative Learning in Bandits
NeurIPS 2022
Open Problem: Regret Bounds for Noise-Free Kernel-Based Bandits
COLT 2022
Amortized variance reduction for doubly stochastic objective
UAI 2020
Adaptive Sensor Placement for Continuous Spaces
ICML 2019