Eytan Bakshy

According to our database1, Eytan Bakshy authored at least 48 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Joint Composite Latent Space Bayesian Optimization.
CoRR, 2023

Practical Policy Optimization with Personalized Experimentation.
CoRR, 2023

Unexpected Improvements to Expected Improvement for Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information.
Proceedings of the International Conference on Machine Learning, 2023

Sparse Bayesian optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Multi-objective Bayesian optimization over high-dimensional search spaces.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Interpretable Personalized Experimentation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Looper: An End-to-End ML Platform for Product Decisions.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Robust Multi-Objective Bayesian Optimization Under Input Noise.
Proceedings of the International Conference on Machine Learning, 2022

Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies.
CoRR, 2021

Bayesian Optimization with High-Dimensional Outputs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning.
CoRR, 2020

Real-world Video Adaptation with Reinforcement Learning.
CoRR, 2020

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
PlanAlyzer: assessing threats to the validity of online experiments.
Proc. ACM Program. Lang., 2019

Bayesian Optimization for Policy Search via Online-Offline Experimentation.
J. Mach. Learn. Res., 2019

Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints.
CoRR, 2019

BoTorch: Programmable Bayesian Optimization in PyTorch.
CoRR, 2019

Shrinkage Estimators in Online Experiments.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Scalable Meta-Learning for Bayesian Optimization.
CoRR, 2018

Social Influence and Reciprocity in Online Gift Giving.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
Constrained Bayesian Optimization with Noisy Experiments.
CoRR, 2017

Bias and high-dimensional adjustment in observational studies of peer effects.
CoRR, 2017

2015
Online Experiments for Computational Social Science.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Design and Analysis of Benchmarking Experiments for Distributed Internet Services.
Proceedings of the 24th International Conference on World Wide Web, 2015

2014
Modeling the Transition to Public School Choice.
J. Artif. Soc. Soc. Simul., 2014

Designing and deploying online field experiments.
Proceedings of the 23rd International World Wide Web Conference, 2014

2013
Selection effects in online sharing: consequences for peer adoption.
Proceedings of the fourteenth ACM Conference on Electronic Commerce, 2013

Uncertainty in online experiments with dependent data: an evaluation of bootstrap methods.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Quantifying the invisible audience in social networks.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2012
The role of social networks in information diffusion.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Social influence in social advertising: evidence from field experiments.
Proceedings of the 13th ACM Conference on Electronic Commerce, 2012

2011
Everyone's an influencer: quantifying influence on twitter.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Center of Attention: How Facebook Users Allocate Attention across Friends.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

2010
Seller activity in a virtual marketplace.
First Monday, 2010

The Social Dynamics of Economic Activity in a Virtual World.
Proceedings of the Fourth International Conference on Weblogs and Social Media, 2010

2009
Social influence and the diffusion of user-created content.
Proceedings of the Proceedings 10th ACM Conference on Electronic Commerce (EC-2009), 2009

2008
Knowledge sharing and yahoo answers: everyone knows something.
Proceedings of the 17th International Conference on World Wide Web, 2008


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