Sattar Vakili | DeepAI

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∙ 08/10/2023

Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling

Channel modelling is essential to designing modern wireless communicatio...

0 Ushnish Sengupta, et al. ∙

∙ 06/13/2023

Kernelized Reinforcement Learning with Order Optimal Regret Bounds

Reinforcement learning (RL) has shown empirical success in various real ...

0 Sattar Vakili, et al. ∙

∙ 06/01/2023

Image generation with shortest path diffusion

The field of image generation has made significant progress thanks to th...

0 Ayan Das, et al. ∙

∙ 02/16/2023

Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow

We present Trieste, an open-source Python package for Bayesian optimizat...

0 Victor Picheny, et al. ∙

∙ 02/01/2023

Sample Complexity of Kernel-Based Q-Learning

Modern reinforcement learning (RL) often faces an enormous state-action ...

0 Sing-Yuan Yeh, et al. ∙

∙ 02/01/2023

Delayed Feedback in Kernel Bandits

Black box optimisation of an unknown function from expensive and noisy e...

0 Sattar Vakili, et al. ∙

∙ 07/16/2022

Kernel-based Federated Learning with Personalization

We consider federated learning with personalization, where in addition t...

0 Sudeep Salgia, et al. ∙

∙ 05/31/2022

Near-Optimal Collaborative Learning in Bandits

This paper introduces a general multi-agent bandit model in which each a...

0 Clémence Réda, et al. ∙

∙ 05/31/2022

Provably and Practically Efficient Neural Contextual Bandits

We consider the neural contextual bandit problem. In contrast to the exi...

2 Sudeep Salgia, et al. ∙

∙ 02/08/2022

Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning

Kernel-based models such as kernel ridge regression and Gaussian process...

0 Sattar Vakili, et al. ∙

∙ 10/28/2021

Open Problem: Tight Online Confidence Intervals for RKHS Elements

Confidence intervals are a crucial building block in the analysis of var...

0 Sattar Vakili, et al. ∙

∙ 09/13/2021

Uniform Generalization Bounds for Overparameterized Neural Networks

An interesting observation in artificial neural networks is their favora...

0 Sattar Vakili, et al. ∙

∙ 08/20/2021

Optimal Order Simple Regret for Gaussian Process Bandits

Consider the sequential optimization of a continuous, possibly non-conve...

0 Sattar Vakili, et al. ∙

∙ 10/27/2020

A Computationally Efficient Approach to Black-box Optimization using Gaussian Process Models

We consider the sequential optimization of an unknown function from nois...

27 Sudeep Salgia, et al. ∙

∙ 09/15/2020

On Information Gain and Regret Bounds in Gaussian Process Bandits

Consider the sequential optimization of an expensive to evaluate and pos...

0 Sattar Vakili, et al. ∙

∙ 06/09/2020

Scalable Thompson Sampling using Sparse Gaussian Process Models

Thompson Sampling (TS) with Gaussian Process (GP) models is a powerful t...

0 Sattar Vakili, et al. ∙

∙ 03/11/2020

Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization

A framework based on iterative coordinate minimization (CM) is developed...

10 Sudeep Salgia, et al. ∙

∙ 03/09/2020

Amortized variance reduction for doubly stochastic objectives

Approximate inference in complex probabilistic models such as deep Gauss...

3 Ayman Boustati, et al. ∙

∙ 02/12/2020

Regret Bounds for Noise-Free Bayesian Optimization

Bayesian optimisation is a powerful method for non-convex black-box opti...

0 Sattar Vakili, et al. ∙

∙ 12/05/2019

Ordinal Bayesian Optimisation

Bayesian optimisation is a powerful tool to solve expensive black-box pr...

0 Victor Picheny, et al. ∙

∙ 05/16/2019

Adaptive Sensor Placement for Continuous Spaces

We consider the problem of adaptively placing sensors along an interval ...

0 James A. Grant, et al. ∙

∙ 01/17/2019

A Random Walk Approach to First-Order Stochastic Convex Optimization

Online minimization of an unknown convex function over a convex and comp...

0 Sattar Vakili, et al. ∙

∙ 07/24/2018

Decision Variance in Online Learning

Online learning has classically focused on the expected behaviour of lea...

0 Sattar Vakili, et al. ∙

∙ 02/12/2018

Multi-Armed Bandits on Unit Interval Graphs

An online learning problem with side information on the similarity and d...

0 Xiao Xu, et al. ∙

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