Danil Provodin

According to our database, Danil Provodin authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Rethinking Knowledge Transfer in Learning Using Privileged Information.

Danil Provodin, Bram van den Akker, Christina Katsimerou, Maurits Kaptein, Mykola Pechenizkiy

CoRR, 2024

Bandits for Sponsored Search Auctions Under Unknown Valuation Model: Case Study in E-Commerce Advertising.

Danil Provodin, Jérémie Joudioux, Eduard Duryev

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling.

Danil Provodin, Maurits Clemens Kaptein, Mykola Pechenizkiy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Provably Efficient Exploration in Constrained Reinforcement Learning: Posterior Sampling Is All You Need.

Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein

CoRR, 2023

Learning Optimal Bidding Strategy: Case Study in E-Commerce Advertising.

Danil Provodin, Jérémie Joudioux, Eduard Duryev

CoRR, 2023

2022

An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning.

Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein

CoRR, 2022

The Impact of Batch Learning in Stochastic Linear Bandits.

Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

The Impact of Batch Learning in Stochastic Bandits.

Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein

CoRR, 2021