Unbiased Identification of Broadly Appealing Content Using a Pure Exploration Infinitely-Armed Bandit Strategy
Maryam Aziz, Jesse Anderton, Kevin Jamieson, Alice Wang, Hugues Bouchard, Javed Aslam
Machine Learning
66 publications
November 2023 | ACM TORS
October 2023 | CIKM
Graph Learning for Exploratory Query Suggestions in an Instant Search System
Enrico Palumbo, Andreas Damianou, Alice Wang, Alva Liu, Ghazal Fazelnia, Francesco Fabbri, Rui Ferreira, Fabrizio Silvestri, Hugues Bouchard, Claudia Hauff, Mounia Lalmas, Ben Carterette, Praveen Chandar, David Nyhan
September 2023 | RecSys
Accelerating Creator Audience Building through Centralized Exploration
Buket Baran, Guilherme Dinis Junior, Antonina Danylenko, Olayinka S. Folorunso, Gösta Forsum, Maksym Lefarov, Lucas Maystre, Yu Zhao
August 2023 | Interspeech
Lightweight and Efficient Spoken Language Identification of Long-form Audio
Winstead Zhu, Md Iftekhar Tanveer, Yang Janet Liu, Seye Ojumu, Rosie Jones
July 2023 | KDD
Impatient Bandits: Optimizing for the Long-Term Without Delay
Thomas McDonald, Lucas Maystre, Mounia Lalmas, Daniel Russo, Kamil Ciosek
July 2023 | KDD
Automatic Music Playlist Generation via Simulation-based Reinforcement Learning
Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai
June 2023 | ICASSP
Contrastive Learning-based Audio to Lyrics Alignment for Multiple Languages
Simon Durand, Daniel Stoller, Sebastian Ewert
March 2023 | CLeaR - Causal Learning and Reasoning
Non-parametric identifiability and sensitivity analysis of synthetic control models
Jakob Zeitler, Athanasios Vlontzos, Ciarán Mark Gilligan-Lee
March 2023 | CLeaR - Causal Learning and Reasoning
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding
Graham Van Goffrier, Lucas Maystre, Ciarán Mark Gilligan-Lee
March 2023 | Nature Machine Intelligence
Estimating categorical counterfactuals via deep twin networks
Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
February 2023 | WSDM
Calibrated Recommendations as a Minimum-Cost Flow Problem
Himan Abdollahpouri, Zahra Nazari, Alex Gain,Clay Giibson, Maria Dimakopoulou, Jesse Anderton, Benjamin Carterette, Mounia Lalmas, Tony Jebara
November 2022 | NeurIPS
Society of Agents: Regrets Bounds of Concurrent Thompson Sampling
Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou
November 2022 | NeurIPS
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders
Olivier Jeunen, Ciarán M. Gilligan-Lee, Rishabh Mehrotra, Mounia Lalmas
September 2022 | RecSys
Identifying New Podcasts with High General Appeal Using a Pure Exploration Infinitely-Armed Bandit Strategy
Maryam Aziz, Jesse Anderton, Kevin Jamieson, Alice Wang, Hugues Bouchard, Javed Aslam
September 2022 | Interspeech
Unsupervised Speaker Diarization that is Agnostic to Language Overlap Aware and Free of Tuning
M Iftekhar Tanveer, Diego Casabuena, Jussi Karlgren, Rosie Jones
August 2022 | UAI
Multistate analysis with infinite mixtures of Markov chains
Lucas Maystre, Tiffany Wu, Roberto Sanchis-Ojeda, Tony Jebara
August 2022 | UAI
Efficient Inference for Dynamic Topic Modeling with Large Vocabularies
Federico Tomasi, Mounia Lalmas, Zhenwen Dai
July 2022 | IJCAI
Towards Robust Unsupervised Disentanglement of Sequential Data – A Case Study Using Music Audio
Yin-Jyun Luo, Sebastian Ewert, Simon Dixon
July 2022 | SIGIR
What Makes a Good Podcast Summary?
Rezvaneh Rezapour, Sravana Reddy, Ann Clifton, Rosie Jones