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Articles by Sattar Vakili

Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
30 October 2024 by Sattar Vakili and Julia Olkhovskaya
Machine Learning, Artificial Intelligence
Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning
21 June 2024 by Sattar Vakili
Machine Learning
Kernelized Reinforcement Learning with Order Optimal Regret Bounds
14 March 2024 by Sattar Vakili and Julia Olkhovskaya
Machine Learning, Artificial Intelligence
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency
2 February 2024 by Sudeep Salgia and others
Machine Learning
Optimal Regret Bounds for Collaborative Learning in Bandits
15 December 2023 by Amitis Shidani and Sattar Vakili
Machine Learning, Multiagent Systems
Robust Best-arm Identification in Linear Bandits
8 November 2023 by Wei Wang and others
Machine Learning
Adversarial Contextual Bandits Go Kernelized
2 October 2023 by Gergely Neu and others
Machine Learning
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling
10 August 2023 by Ushnish Sengupta and others
Artificial Intelligence, Computational Engineering, Finance, and Science
Image generation with shortest path diffusion
1 June 2023 by Ayan Das and others
Computer Vision and Pattern Recognition, Artificial Intelligence
Collaborative Learning in Kernel-based Bandits for Distributed Users
17 April 2023 by Sudeep Salgia and others
Machine Learning
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
16 February 2023 by Victor Picheny and others
Machine Learning
Sample Complexity of Kernel-Based Q-Learning
1 February 2023 by Sing-Yuan Yeh and others
Machine Learning, Artificial Intelligence
Delayed Feedback in Kernel Bandits
1 February 2023 by Sattar Vakili and others
Machine Learning, Artificial Intelligence
Near-Optimal Collaborative Learning in Bandits
28 October 2022 by Clémence Réda and others
Machine Learning
Regret Bounds for Noise-Free Kernel-Based Bandits
24 June 2022 by Sattar Vakili
Machine Learning
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
18 June 2022 by Sattar Vakili and others
Machine Learning
Provably and Practically Efficient Neural Contextual Bandits
31 May 2022 by Sudeep Salgia and others
Machine Learning
The minor allele of the CREBRF rs373863828 p.R457Q coding variant is associated with reduced levels of myostatin in males: Implications for body composition
24 February 2022 by Kwanghyeon Lee and others at LogoUniversity of Auckland
Endocrinology
Open Problem: Tight Online Confidence Intervals for RKHS Elements
28 October 2021 by Sattar Vakili and others
Machine Learning, Statistics Theory
Uniform Generalization Bounds for Overparameterized Neural Networks
8 October 2021 by Sattar Vakili and others
Machine Learning
Optimal Order Simple Regret for Gaussian Process Bandits
20 August 2021 by Sattar Vakili and others
Machine Learning
A Computationally Efficient Approach to Black-box Optimization using Gaussian Process Models
10 February 2021 by Sudeep Salgia and others
Machine Learning
On Information Gain and Regret Bounds in Gaussian Process Bandits
9 October 2020 by Sattar Vakili and others
Machine Learning, Information Theory
Scalable Thompson Sampling using Sparse Gaussian Process Models
24 August 2020 by Sattar Vakili and others
Machine Learning
Laboratory Findings of COVID-19 Infection are Conflicting in Different Age Groups and Pregnant Women: A Literature Review
11 June 2020 by S. Vakili and others
Infectious Diseases
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization
11 March 2020 by Sudeep Salgia and others
Machine Learning, Optimization and Control
Amortized variance reduction for doubly stochastic objectives
9 March 2020 by Ayman Boustati and others
Machine Learning, Methodology
Ordinal Bayesian Optimisation
5 December 2019 by Victor Picheny and others
Machine Learning, Optimization and Control
Stochastic Gradient Descent on a Tree: an Adaptive and Robust Approach to Stochastic Convex Optimization
27 October 2019 by Sattar Vakili and others
Machine Learning, Optimization and Control
Adaptive Sensor Placement for Continuous Spaces
16 May 2019 by James Grant and others
Machine Learning
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