Branislav Kveton

According to our database1, Branislav Kveton authored at least 72 papers between 2003 and 2019.

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Bibliography

2019
Perturbed-History Exploration in Stochastic Linear Bandits.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Perturbed-History Exploration in Stochastic Multi-Armed Bandits.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits.
Proceedings of the 36th International Conference on Machine Learning, 2019

Sample Efficient Graph-Based Optimization with Noisy Observations.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Conservative Exploration using Interleaving.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Finding Subcube Heavy Hitters in Analytics Data Streams.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Efficient online recommendation via low-rank ensemble sampling.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

\mathttSpectralLeader : Online Spectral Learning for Single Topic Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

TopRank: A practical algorithm for online stochastic ranking.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Offline Evaluation of Ranking Policies with Click Models.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Does Weather Matter?: Causal Analysis of TV Logs.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Get to the Bottom: Causal Analysis for User Modeling.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Thompson Sampling for Optimizing Stochastic Local Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Bernoulli Rank-1 Bandits for Click Feedback.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Online Learning to Rank in Stochastic Click Models.
Proceedings of the 34th International Conference on Machine Learning, 2017

Model-Independent Online Learning for Influence Maximization.
Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic Rank-1 Bandits.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Minimal Interaction Content Discovery in Recommender Systems.
TiiS, 2016

Cascading Bandits for Large-Scale Recommendation Problems.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Graphical Model Sketch.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Practical Linear Models for Large-Scale One-Class Collaborative Filtering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

DCM Bandits: Learning to Rank with Multiple Clicks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
PriView: Personalized Media Consumption Meets Privacy against Inference Attacks.
IEEE Software, 2015

Managing Your Private and Public Data: Bringing Down Inference Attacks Against Your Privacy.
J. Sel. Topics Signal Processing, 2015

Combinatorial Cascading Bandits.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Efficient Thompson Sampling for Online Matrix-Factorization Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Minimal Interaction Search in Recommender Systems.
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Optimal Greedy Diversity for Recommendation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Efficient Learning in Large-Scale Combinatorial Semi-Bandits.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Cascading Bandits: Learning to Rank in the Cascade Model.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
SPPM: Sparse Privacy Preserving Mappings.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Matroid Bandits: Fast Combinatorial Optimization with Learning.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Diversified Utility Maximization for Recommendations.
Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

Spectral Bandits for Smooth Graph Functions.
Proceedings of the 31th International Conference on Machine Learning, 2014

Large-Scale Optimistic Adaptive Submodularity.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Adaptive Submodular Maximization in Bandit Setting.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Predicting user dissatisfaction with Internet application performance at end-hosts.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Sequential Bayesian Search.
Proceedings of the 30th International Conference on Machine Learning, 2013

How to hide the elephant- or the donkey- in the room: Practical privacy against statistical inference for large data.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Learning from a single labeled face and a stream of unlabeled data.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Structured Kernel-Based Reinforcement Learning.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Incorporating Metadata into Dynamic Topic Analysis.
Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, 2012

Leveraging Side Observations in Stochastic Bandits.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Kernel-Based Reinforcement Learning on Representative States.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Conditional Anomaly Detection with Soft Harmonic Functions.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Automatic Identity Inference for Smart TVs.
Proceedings of the Lifelong Learning, 2011

2010
Semi-Supervised Learning with Max-Margin Graph Cuts.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Automatic Tuning of Interactive Perception Applications.
Proceedings of the UAI 2010, 2010

Online Semi-Supervised Learning on Quantized Graphs.
Proceedings of the UAI 2010, 2010

Fast, Accurate, and Practical Identity Inference Using TV Remote Controls.
Proceedings of the Twenty-Second Conference on Innovative Applications of Artificial Intelligence, 2010

Online semi-supervised perception: Real-time learning without explicit feedback.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Inferring Identity Using Accelerometers in Television Remote Controls.
Proceedings of the Pervasive Computing, 7th International Conference, 2009

2008
Partitioned Linear Programming Approximations for MDPs.
Proceedings of the UAI 2008, 2008

A Lazy Approach to Online Learning with Constraints.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Online Learning with Expert Advice and Finite-Horizon Constraints.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Evidence-based Anomaly Detection in Clinical Domains.
Proceedings of the AMIA 2007, 2007

Adaptive Timeout Policies for Fast Fine-Grained Power Management.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Solving Factored MDPs with Hybrid State and Action Variables.
J. Artif. Intell. Res., 2006

Solving Factored MDPs with Exponential-Family Transition Models.
Proceedings of the Sixteenth International Conference on Automated Planning and Scheduling, 2006

Learning Basis Functions in Hybrid Domains.
Proceedings of the Proceedings, 2006

When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions.
Proceedings of the Proceedings, 2006

2005
An MCMC Approach to Solving Hybrid Factored MDPs.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Automatic Excursion Detection in Manufacturing: Preliminary Results.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2004
Solving Factored MDPs with Continuous and Discrete Variables.
Proceedings of the UAI '04, 2004

Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes.
Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling (ICAPS 2004), 2004

2003
Linear Program Approximations for Factored Continuous-State Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003


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