Online Decision Making with High-Dimensional Covariates

Hamsa Bastani
Corresponding Author
Hamsa Bastani
https://orcid.org/0000-0002-8793-4732
Wharton School, Operations Information and Decisions, University of Pennsylvania, Philadelphia, Pennsylvania 19104;
Search for more papers by this author
,
Mohsen Bayati
Mohsen Bayati
https://orcid.org/0000-0002-7280-912X
Stanford Graduate School of Business, Stanford University, Stanford, California 94305
Search for more papers by this author

Hamsa Bastani

Corresponding Author

Hamsa Bastani

https://orcid.org/0000-0002-8793-4732

Wharton School, Operations Information and Decisions, University of Pennsylvania, Philadelphia, Pennsylvania 19104;

Search for more papers by this author

Mohsen Bayati

https://orcid.org/0000-0002-7280-912X

Stanford Graduate School of Business, Stanford University, Stanford, California 94305

Search for more papers by this author

Published Online:7 Nov 2019https://doi.org/10.1287/opre.2019.1902

Supplemental Material

opre.2019.1902.sm1.pdf

Cited by
- Statistical inference for online decision making with Lasso loss function: In a contextual multi-armed bandit setting
  European Journal of Operational Research, Vol. 334, No. 1
- Estimation Errors as Regret Lower Bounds for Linear Contextual Bandits
  Jiahao He,
  Jiheng Zhang,
  Rachel Q. Zhang
  2 June 2026 | Management Science, Vol. 0, No. 0
- Contextual Online Uncertainty-Aware Preference Learning for Human Feedback
  18 May 2026 | Journal of the American Statistical Association
- High-Dimensional Dynamic Pricing Under Nonstationarity: Learning and Earning with Change-Point Detection
  Zifeng Zhao,
  Feiyu Jiang,
  Yi Yu,
  Xi Chen
  18 May 2026 | Management Science, Vol. 0, No. 0
- Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization
  Katherine B. Adams,
  Justin J. Boutilier,
  Sarang Deo,
  Yonatan Mintz
  8 May 2026 | Operations Research, Vol. 0, No. 0
- Gaussianized design optimization for covariate balance in randomized experiments
  22 April 2026 | Journal of the Royal Statistical Society Series B: Statistical Methodology, Vol. 69
- It’s All in the Mix: Wasserstein Classification and Regression with Mixed Features
  Reza Belbasi,
  Aras Selvi,
  Wolfram Wiesemann
  9 March 2026 | Manufacturing & Service Operations Management, Vol. 0, No. 0
- Hiring as Exploration
  12 June 2025 | Review of Economic Studies, Vol. 93, No. 2
- An Adaptive Optimization Approach to Personalized Financial Incentives In Behavioral Interventions
  29 July 2025 | Production and Operations Management, Vol. 35, No. 2
- Online Policy Learning and Inference by Matrix Completion
  10 October 2025 | Journal of the American Statistical Association, Vol. 121, No. 553
- Scalable and Interpretable Contextual Bandits: A Literature Review and Retail Offer Prototype
  19 October 2025
- HD-CB: The First Exploration of Hyperdimensional Computing for Contextual Bandits Problems
  IEEE Open Journal of the Computer Society, Vol. 7
- Response Adaptivity Across Clinical Trials in Portfolios of Biomedical Innovations
  1 January 2026 | SSRN Electronic Journal, Vol. 18
- Contextual Learning with Online Convex Optimization: Theory and Application to Medical Decision-Making
  Esmaeil Keyvanshokooh,
  Mohammad Zhalechian,
  Cong Shi,
  Mark P. Van Oyen,
  Pooyan Kazemian
  2 May 2025 | Management Science, Vol. 71, No. 12
- Hotel Booking Cancellation Prediction by Feature Interaction and Machine Learning
  7 January 2026
- What makes successful equity crowdfunding campaigns? A machine learning analysis of information cues
  11 November 2025 | The European Journal of Finance, Vol. 13
- Contextual Data-Integrated Newsvendor Solution with Operational Data Analytics (ODA)
  Qi Feng,
  J. George Shanthikumar,
  Jian Wu
  17 March 2025 | Management Science, Vol. 71, No. 11
- Estimation of High-Dimensional Contextual Pricing Models with Nonparametric Price Confounders
  Yining Wang,
  Quanquan Liu
  20 June 2025 | Operations Research, Vol. 73, No. 6
- Learning Personalized Treatment Strategies with Predictive and Prognostic Covariates in Adaptive Clinical Trials
  Andres Alban,
  Stephen E. Chick,
  Spyros I. Zoumpoulis
  29 October 2025 | Management Science, Vol. 0, No. 0
- Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity
  31 January 2025 | Journal of the American Statistical Association, Vol. 120, No. 552
- Dynamic Incentive Allocation for City-Scale Deep Decarbonization
  16 July 2025 | ACM Journal on Computing and Sustainable Societies, Vol. 3, No. 3
- Reproducible Feature Selection for High-Dimensional Measurement Error Models
  Xin Zhou,
  Yang Li,
  Zemin Zheng,
  Jie Wu,
  Jiarui Zhang
  7 November 2024 | INFORMS Journal on Computing, Vol. 37, No. 5
- Multitask Learning and Bandits via Robust Statistics
  Kan Xu,
  Hamsa Bastani
  6 January 2025 | Management Science, Vol. 71, No. 9
- Dynamic Care Unit Placements Under Unknown Demand with Learning
  Arlen Dean,
  Mohammad Zhalechian,
  Mark P. Van Oyen
  23 July 2025 | Manufacturing & Service Operations Management, Vol. 27, No. 5
- Online Learning with Sample Selection Bias
  Divya Singhvi,
  Somya Singhvi
  19 March 2025 | Operations Research, Vol. 73, No. 5
- Subgroup Analysis for High‐Dimensional Latent Factor Regression
  23 August 2025 | Stat, Vol. 14, No. 3
- Variational Quantum Circuits in Offline Contextual Bandit Problems
- Practical Contextual Bandits for Large-Scale Structured Discrete Constrained Optimization Problems
  3 August 2025
- Solving the Price-Setting Newsvendor Problem with Parametric Operational Data Analytics (ODA)
  Leon Yang Chu,
  Qi Feng,
  J. George Shanthikumar,
  Zuo-Jun Max Shen,
  Jian Wu
  13 November 2024 | Management Science, Vol. 71, No. 8
- Online Learning and Decision Making Under Generalized Linear Model with High-Dimensional Data
  Xue Wang,
  Mike Mingcheng Wei,
  Tao Yao
  13 November 2024 | Management Science, Vol. 71, No. 8
- Meta Representation Learning with Contextual Linear Bandits
  Statistical Science, Vol. 40, No. 3
- Efficient Implementation of LinearUCB through Algorithmic Improvements and Vector Computing Acceleration for Embedded Learning Systems
  11 July 2025 | ACM Transactions on Embedded Computing Systems, Vol. 24, No. 4
- Democratizing Data Analytics Products to Drive SME Growth: A Natural Experiment
  Zhe Yuan,
  Yitong Wang,
  Tianshu Sun,
  Huilan Xu
  26 May 2025 | Manufacturing & Service Operations Management, Vol. 27, No. 4
- Fair routing in MoE for distributed spatial data: a combinatorial multi-armed bandit solution
  7 March 2025 | GeoInformatica, Vol. 29, No. 3
- HD-CB BIN : A Lightweight Approach for Contextual Bandit Learning in Real-Time Applications
- A Unified Regularization Approach to High-Dimensional Generalized Tensor Bandits
- Batched Nonparametric Contextual Bandits
  IEEE Transactions on Information Theory, Vol. 71, No. 6
- Thompson sampling for zero-inflated count outcomes with an application to the Drink Less mobile health study
  The Annals of Applied Statistics, Vol. 19, No. 2
- Hard-thresholding regularization method for high-dimensional heterogeneous models
  25 March 2025 | Journal of Statistical Computation and Simulation, Vol. 95, No. 7
- Multi-dimensional assignment model and its algorithm for multi-features decision-making problems
  Expert Systems with Applications, Vol. 270
- On Penalization in Stochastic Multi-Armed Bandits
  IEEE Transactions on Information Theory, Vol. 71, No. 3
- Fast Rates for the Regret of Offline Reinforcement Learning
  Yichun Hu,
  Nathan Kallus,
  Masatoshi Uehara
  25 March 2024 | Mathematics of Operations Research, Vol. 50, No. 1
- Supplier Selection Criteria Under Heterogeneous Sourcing Needs: Evidence From an Online Marketplace for Selling Production Capacity
  28 September 2024 | Production and Operations Management, Vol. 34, No. 2
- Online Causal Inference for Advertising in Real-Time Bidding Auctions
  Caio Waisman; ,
  Harikesh S. Nair; ,
  Carlos Carrion
  14 August 2024 | Marketing Science, Vol. 44, No. 1
- A new bandit setting balancing information from state evolution and corrupted context
  18 December 2024 | Data Mining and Knowledge Discovery, Vol. 39, No. 1
- Best-Arm Identification with High-Dimensional Features
- Fair Exploration via Axiomatic Bargaining
  Jackie Baek,
  Vivek F. Farias
  15 March 2024 | Management Science, Vol. 70, No. 12
- Effective Generalized Low-Rank Tensor Contextual Bandits
  IEEE Transactions on Knowledge and Data Engineering, Vol. 36, No. 12
- Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach
  28 September 2024 | BMC Medical Informatics and Decision Making, Vol. 24, No. 1
- The Development and Future Challenges of the Multi-armed Bandit Algorithm
- The Use of Generative Artificial Intelligence for Business Decision-Making
  1 November 2024 | The Pinnacle: A Journal by Scholar-Practitioners, Vol. 2, No. 3
- Online Regularization toward Always-Valid High-Dimensional Dynamic Pricing
  26 December 2023 | Journal of the American Statistical Association, Vol. 119, No. 548
- Adaptive Seamless Dose-Finding Trials
  Ningyuan Chen,
  Amin Khademi
  13 June 2024 | Manufacturing & Service Operations Management, Vol. 26, No. 5
- Multi-agent Perspective of Fake Feedback Attacks on Stochastic Multi-armed Bandits
  14 August 2024
- Policy Learning with Adaptively Collected Data
  Ruohan Zhan,
  Zhimei Ren,
  Susan Athey,
  Zhengyuan Zhou
  16 October 2023 | Management Science, Vol. 70, No. 8
- Optimal Experimental Design for Staggered Rollouts
  Ruoxuan Xiong; ,
  Susan Athey,
  Mohsen Bayati,
  Guido Imbens
  14 December 2023 | Management Science, Vol. 70, No. 8
- A Bayesian model for multicriteria sorting problems
  5 September 2023 | IISE Transactions, Vol. 56, No. 7
- Privacy-Preserving Personalized Revenue Management
  Yanzhe (Murray) Lei,
  Sentao Miao,
  Ruslan Momot
  22 September 2023 | Management Science, Vol. 70, No. 7
- Feature-Based Inventory Control with Censored Demand
  Jingying Ding,
  Woonghee Tim Huh,
  Ying Rong
  22 February 2024 | Manufacturing & Service Operations Management, Vol. 26, No. 3
- Adaptive Algorithm for Multi-Armed Bandit Problem with High-Dimensional Covariates
  11 January 2023 | Journal of the American Statistical Association, Vol. 119, No. 546
- Application of non parametric Bayesian methods in high dimensional data
  1 May 2024 | Journal of Computational Methods in Sciences and Engineering, Vol. 24, No. 2
- Optimal Data-Driven Hiring With Equity for Underrepresented Groups
  6 February 2024 | Production and Operations Management, Vol. 104
- Dynamic Batch Learning in High-Dimensional Sparse Linear Contextual Bandits
  Zhimei Ren,
  Zhengyuan Zhou
  19 October 2023 | Management Science, Vol. 70, No. 2
- Delay-Adaptive Learning in Generalized Linear Contextual Bandits
  Jose Blanchet,
  Renyuan Xu,
  Zhengyuan Zhou
  8 March 2023 | Mathematics of Operations Research, Vol. 49, No. 1
- Transfer learning for contextual multi-armed bandits
  The Annals of Statistics, Vol. 52, No. 1
- Non-Stationary Linear Bandits With Dimensionality Reduction for Large-Scale Recommender Systems
  IEEE Open Journal of Signal Processing, Vol. 5
- Model Selection for Generic Contextual Bandits
  IEEE Transactions on Information Theory, Vol. 70, No. 1
- How to Improve Immersive Experience?
  IEEE Transactions on Multimedia, Vol. 26
- Multitask Learning and Bandits via Robust Statistics
  1 January 2024 | SSRN Electronic Journal, Vol. 24
- Forecasting global solar radiation using a robust regularization approach with mixture kernels
  21 June 2023 | Journal of Forecasting, Vol. 42, No. 8
- Healthcare analytics: A techno-functional perspective
  Technological Forecasting and Social Change, Vol. 197
- PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison
  IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 45, No. 12
- Distributionally Robust Batch Contextual Bandits
  Nian Si,
  Fan Zhang,
  Zhengyuan Zhou,
  Jose Blanchet
  31 March 2023 | Management Science, Vol. 69, No. 10
- Synthetic Data Generation and Sampling for Online Training of DNNs in Manufacturing Supervised Learning Problems
- Efficient Sparse Linear Bandits under High Dimensional Data
  4 August 2023
- Personalized Healthcare Outcome Analysis of Cardiovascular Surgical Procedures
  Guihua Wang,
  Jun Li,
  Wallace J. Hopp
  13 June 2023 | Manufacturing & Service Operations Management, Vol. 25, No. 4
- Contextual Search in the Presence of Adversarial Corruptions
  Akshay Krishnamurthy,
  Thodoris Lykouris,
  Chara Podimata,
  Robert Schapire
  4 November 2022 | Operations Research, Vol. 71, No. 4
- Prediction of hotel booking cancellations: Integration of machine learning and probability model based on interpretable feature interaction
  Decision Support Systems, Vol. 170
- Optimizing Substance Use Treatment Selection Using Reinforcement Learning
  25 March 2023 | ACM Transactions on Management Information Systems, Vol. 14, No. 2
- Multiagent Low-Dimensional Linear Bandits
  IEEE Transactions on Automatic Control, Vol. 68, No. 5
- Active Learning for Contextual Search with Binary Feedback
  Xi Chen,
  Quanquan Liu,
  Yining Wang
  12 July 2022 | Management Science, Vol. 69, No. 4
- AI and Personalization
- Robust forecasting in spatial autoregressive model with total variation regularization
  25 August 2022 | Journal of Forecasting, Vol. 42, No. 2
- An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making
  31 January 2023
- Information-gathering in latent bandits
  Knowledge-Based Systems, Vol. 260
- Dynamic Learning for Joint Pricing, Advertising, and Inventory Management
  1 January 2023 | SSRN Electronic Journal, Vol. 27
- Solving the Price-Setting Newsvendor Problem with Parametric Operational Data Analytics (ODA)
  1 January 2023 | SSRN Electronic Journal, Vol. 13
- Supplier Selection Criteria under Heterogeneous Sourcing Needs: Evidence from an Online Marketplace for Selling Production Capacity
  1 January 2023 | SSRN Electronic Journal, Vol. 18
- Estimation of High-Dimensional Contextual Pricing Models with Nonparametric Price Confounders
  1 January 2023 | SSRN Electronic Journal, Vol. 67
- Solving the Price-Setting Newsvendor Problem with Parametric Operational Data Analytics (ODA)
  1 January 2023 | SSRN Electronic Journal, Vol. 13
- Doubly High-Dimensional Contextual Bandits: An Interpretable Model for Joint Assortment-Pricing
  1 January 2023 | SSRN Electronic Journal, Vol. 24
- Contextual Data-Integrated Newsvendor Solution with Operational Data Analytics (ODA)
  1 January 2023 | SSRN Electronic Journal, Vol. 23
- Adaptive Design of Personalized Dose-Finding Clinical Trials
  Saeid Delshad,
  Amin Khademi
  21 July 2022 | Service Science, Vol. 14, No. 4
- Quantile regression forests for individualized surgery scheduling
  18 August 2022 | Health Care Management Science, Vol. 25, No. 4
- Developing operations management data analytics
  1 December 2022 | Production and Operations Management, Vol. 31, No. 12
- Smoothness-Adaptive Contextual Bandits
  Yonatan Gur,
  Ahmadreza Momeni,
  Stefan Wager
  26 January 2022 | Operations Research, Vol. 70, No. 6
- Smooth Contextual Bandits: Bridging the Parametric and Nondifferentiable Regret Regimes
  Yichun Hu,
  Nathan Kallus,
  Xiaojie Mao
  7 February 2022 | Operations Research, Vol. 70, No. 6
- Beyond Ads: Sequential Decision-Making Algorithms in Law and Public Policy
  1 November 2022
- Smart urban transport and logistics: A business analytics perspective
  1 October 2022 | Production and Operations Management, Vol. 31, No. 10
- Some performance considerations when using multi-armed bandit algorithms in the presence of missing data
  12 September 2022 | PLOS ONE, Vol. 17, No. 9
- Features Selection as a Nash-Bargaining Solution: Applications in Online Advertising and Information Systems
  Kimia Keshanian,
  Daniel Zantedeschi,
  Kaushik Dutta
  19 April 2022 | INFORMS Journal on Computing, Vol. 34, No. 5
- Interpretable Operations Research for High-Stakes Decisions: Designing the Greek COVID-19 Testing System
  Hamsa Bastani,
  Kimon Drakopoulos,
  Vishal Gupta,
  Jon Vlachogiannis,
  Christos Hadjichristodoulou,
  Pagona Lagiou,
  Gkikas Magiorkinis,
  Dimitrios Paraskevis,
  Sotirios Tsiodras
  5 October 2022 | INFORMS Journal on Applied Analytics, Vol. 52, No. 5
- An Analytics Approach to Guide Randomized Controlled Trials in Hypertension Management
  Anthony Bonifonte,
  Turgay Ayer,
  Benjamin Haaland
  17 January 2022 | Management Science, Vol. 68, No. 9
- Online Personalized Assortment Optimization with High-Dimensional Customer Contextual Data
  Sentao Miao,
  Xiuli Chao
  6 July 2022 | Manufacturing & Service Operations Management, Vol. 24, No. 5
- Robust large-scale online kernel learning
  19 May 2022 | Neural Computing and Applications, Vol. 34, No. 17
- High Dimensional Stochastic Linear Contextual Bandit with Missing Covariates
- Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits Under Realizability
  David Simchi-Levi,
  Yunzong Xu
  9 December 2021 | Mathematics of Operations Research, Vol. 47, No. 3
- Contextual Search via Intrinsic Volumes
  18 July 2022 | SIAM Journal on Computing, Vol. 51, No. 4
- Bayesian Sequential Learning for Clinical Trials of Multiple Correlated Medical Interventions
  Stephen E. Chick,
  Noah Gans,
  Özge Yapar
  5 November 2021 | Management Science, Vol. 68, No. 7
- From Reality to World. A Critical Perspective on AI Fairness
  25 February 2022 | Journal of Business Ethics, Vol. 178, No. 4
- Fast Rates for Contextual Linear Optimization
  Yichun Hu,
  Nathan Kallus,
  Xiaojie Mao
  29 March 2022 | Management Science, Vol. 68, No. 6
- Contextual Bandit Guided Data Farming for Deep Neural Networks in Manufacturing Industrial Internet
- Inventory Model with Stochastic Demand Using Single-Period Inventory Model and Gaussian Process
  16 April 2022 | Processes, Vol. 10, No. 4
- Board engagement with digital technologies: A resource dependence framework
  Journal of Business Research, Vol. 139
- Applied Machine Learning in Operations Management
  11 May 2021
- Pricing with High-Dimensional Data
  12 April 2022
- Interconnected Neural Linear Contextual Bandits with UCB Exploration
  10 May 2022
- Cost and Care Insight: An Interactive and Scalable Hierarchical Learning System for Identifying Cost Saving Opportunities
  15 August 2022
- Batched Learning in Generalized Linear Contextual Bandits With General Decision Sets
  IEEE Control Systems Letters, Vol. 6
- Increasing Charity Donations: A Bandit Learning Approach
  SSRN Electronic Journal, Vol. 24
- Developing Operations Management Data Analytics
  SSRN Electronic Journal, Vol. 67
- AI and Personalization
  SSRN Electronic Journal, Vol. 24
- Learning Personalized Treatment Strategies with Predictive and Prognostic Covariates in Adaptive Clinical Trials
  1 January 2022 | SSRN Electronic Journal, Vol. 68
- Sample Complexity of Policy Learning for Inventory Control with Censored Demand
  SSRN Electronic Journal, Vol. 32
- Peer Effects and Club Selections of a Unique Online Fishing Game
  SSRN Electronic Journal, Vol. 68
- Causal Bandits: Online Decision-Making in Endogenous Settings
  SSRN Electronic Journal, Vol. 49
- Expected Value of Information Methods for Contextual Ranking and Selection: Clinical Trials and Simulation Optimization
- Efficient and targeted COVID-19 border testing via reinforcement learning
  22 September 2021 | Nature, Vol. 599, No. 7883
- Multimodal Dynamic Pricing
  Yining Wang,
  Boxiao Chen,
  David Simchi-Levi
  27 January 2021 | Management Science, Vol. 67, No. 10
- Multi-facet Contextual Bandits
  14 August 2021
- Earning and Learning with Varying Cost
  1 August 2021 | Production and Operations Management, Vol. 30, No. 8
- High dimensional decision making, upper and lower bounds
  Economics Letters, Vol. 204
- Contextual search in the presence of irrational agents
  15 June 2021
- User-centric vs whole-stream learning for EMA prediction
- Batched Learning in Generalized Linear Contextual Bandits with General Decision Sets
- Nonparametric Pricing Analytics with Customer Covariates
  Ningyuan Chen,
  Guillermo Gallego
  15 February 2021 | Operations Research, Vol. 69, No. 3
- Local Clustering in Contextual Multi-Armed Bandits
  3 June 2021
- Decision-based model selection
  European Journal of Operational Research, Vol. 290, No. 2
- An integrated opioid prescription optimization framework for total joint replacement surgery patients
  1 February 2021 | IISE Transactions on Healthcare Systems Engineering, Vol. 2017
- Statistical Inference for Online Decision Making: In a Contextual Bandit Setting
  7 July 2020 | Journal of the American Statistical Association, Vol. 116, No. 533
- Exploiting Relevance for Online Decision-Making in High-Dimensions
  IEEE Transactions on Signal Processing, Vol. 69
- Regret lower bound and optimal algorithm for high-dimensional contextual linear bandit
  Electronic Journal of Statistics, Vol. 15, No. 2
- Deploying an Artificial Intelligence System for COVID-19 Testing at the Greek Border
  SSRN Electronic Journal, Vol. 7
- Feature-Based Nonparametric Inventory Control with Censored Demand
  SSRN Electronic Journal, Vol. 68
- Hotspots for Emerging Epidemics: Multi-Task and Transfer Learning over Mobility Networks
  SSRN Electronic Journal, Vol. 126
- Adaptive Sequential Experiments with Unknown Information Arrival Processes
  SSRN Electronic Journal, Vol. 68
- Smoothness-Adaptive Contextual Bandits
  SSRN Electronic Journal, Vol. 33
- Interpretable OR for High-Stakes Decisions: Designing the Greek COVID-19 Testing System
  SSRN Electronic Journal, Vol. 17
- Distributionally Robust Learning
  23 December 2020 | Foundations and Trends® in Optimization, Vol. 4, No. 1-2
- Bandit Algorithms
  4 July 2020 | , Vol. 31
- Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability
  SSRN Electronic Journal, Vol. 37
- Adaptive Seamless Dose-Finding Trials
  SSRN Electronic Journal, Vol. 57
- Privacy-Preserving Personalized Revenue Management
  SSRN Electronic Journal, Vol. 105
- Adaptive Design of Clinical Trials: A Sequential Learning Approach
  SSRN Electronic Journal, Vol. 248
- Applied Machine Learning in Operations Management
  SSRN Electronic Journal, Vol. 67
- Health System Innovation: Analytics in Action
  Martin S. Copenhaver,
  Michael Hu,
  Retsef Levi,
  Kyan Safavi,
  Ana Cecilia Zenteno Langle
  2 October 2019
- Fast Algorithms for Online Personalized Assortment Optimization in a Big Data Regime
  SSRN Electronic Journal, Vol. 66
- Optimal Experimental Design for Staggered Rollouts
  SSRN Electronic Journal, Vol. 105
- Multi-Modal Dynamic Pricing
  SSRN Electronic Journal, Vol. 23

Volume 68, Issue 1

January-February 2020

Pages 1-307, C2-C3

Article Information

Supplemental Material

Metrics

Information

Received:March 31, 2017
Accepted:June 06, 2019
Published Online:November 07, 2019

Cite as

Hamsa Bastani, Mohsen Bayati (2019) Online Decision Making with High-Dimensional Covariates. Operations Research 68(1):276-294.

https://doi.org/10.1287/opre.2019.1902

Keywords

PDF download

Available Issues

Available Issues

Available Issues

Available Issues

Available Issues

Available Issues

Available Issues

Available Issues

Available Issues

Online Decision Making with High-Dimensional Covariates

Supplemental Material

Volume 68, Issue 1

Article Information

Supplemental Material

Metrics

Information

Cite as

Keywords

Sign Up for INFORMS Publications Updates and News