[jour] Online Fair Allocation of Perishable Resources (2026) Siddhartha Banerjee, Chamsi Hssaine, Sean R. Sinclair, Operations Research ‘26 PDF Cite arXiv Link
[jour] Erratum to “Online Allocation and Pricing: Constant Regret via Bellman Inequalities” (2026) Alberto Vera, Siddhartha Banerjee, Itai Gurvich, Operations Research Cite Link
[conf] Water-Filling is Universally Minimax Optimal (2026) Siddhartha Banerjee, Ramiro N. Deo-Campo Vuong, Robert Kleinberg, EC ‘26 PDF Cite arXiv
[conf] Robust Resource Allocation via Competitive Subsidies (2026) David X. Lin, Giannis Fikioris, Siddhartha Banerjee, Éva Tardos, ITCS ‘26 PDF Cite arXiv Link
[conf] Sequential Fair Allocation With Replenishments: A Little Envy Goes An Exponentially Long Way (2026) Chido Onyeze, Sean R. Sinclair, Chamsi Hssaine, Siddhartha Banerjee, SIGMETRICS ‘26 PDF Cite arXiv Link
[conf] Robust equilibria in shared resource allocation via strengthening Border's theorem (2026) David X. Lin, Siddhartha Banerjee, Giannis Fikioris, Éva Tardos, SODA ‘26 PDF Cite arXiv
[preprint] Dynamic Allocation of Public Goods with Approximate Core Equilibria (2025) Chido Onyeze, David X. Lin, Siddhartha Banerjee, Éva Tardos, Preprint PDF Cite arXiv
[conf] Beyond Worst-Case Online Allocation via Dynamic Max-min Fairness (2025) Giannis Fikioris, Siddhartha Banerjee, Éva Tardos, EC ‘25 PDF Cite arXiv Link
[jour] Good prophets know when the end is near (2025) Siddhartha Banerjee, Daniel Freund, Management Science ‘25 Cite SSRN Link
[conf] Online Resource Sharing: Better Robust Guarantees via Randomized Strategies (2025) David X. Lin, Daniel Hall, Giannis Fikioris, Siddhartha Banerjee, Éva Tardos, IJCAI ‘25 PDF Cite arXiv Link
[conf] The Price of Competitive Information Disclosure (2025) Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang, STOC ‘26 PDF Cite arXiv Link
[jour] Allocating Public Goods via Dynamic Max-Min Fairness: Long-Run Behavior and Competitive Equilibria (2025) Chido Onyeze, Siddhartha Banerjee, Giannis Fikioris, Éva Tardos, ACM POMACS PDF Cite arXiv
[conf] Majorized Bayesian Persuasion and Fair Selection (2025) Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang, SODA ‘25 PDF Cite arXiv Link
[preprint] Price Competition Under A Consider-Then-Choose Model With Lexicographic Choice (2024) Siddhartha Banerjee, Chamsi Hssaine, Vijay Kamble, Preprint PDF Cite arXiv
[preprint] Optimal resource allocation for remediating networked contagions (2024) Marios Papachristou, Siddhartha Banerjee, Jon Kleinberg, Preprint SSRN Cite SSRN
[conf] The SMART approach to instance-optimal online learning (2024) Siddhartha Banerjee, Alankrita Bhatt, Christina Lee Yu, COLT ‘24 PDF Cite arXiv
[jour] Plan your system and price for free: Fast algorithms for multimodal transit operations (2024) Siddhartha Banerjee, Chamsi Hssaine, Qi Luo, Samitha Samaranayake, Transportation Science Cite SSRN Link
[conf] Fair price discrimination (2024) Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang, SODA ‘24 PDF Cite arXiv
[jour] Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Trade-off Curve (2023) Sean R. Sinclair, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu, Operations Research ‘23 PDF Cite arXiv Link
[jour] Adaptive discretization in online reinforcement learning (2023) Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu, Operations Research ‘23 PDF Cite arXiv Link
[conf] Allocating with priorities and quotas: Algorithms, complexity, and dynamics (2023) Siddhartha Banerjee, Matthew Eichhorn, David Kempe, EC ‘23 PDF Cite arXiv
[conf] Online fair allocation of perishable resources (2023) Siddhartha Banerjee, Chamsi Hssaine, Sean R. Sinclair, SIGMETRICS ‘23 PDF Cite arXiv Link
[conf] Dynamic interventions for networked contagions (2023) Marios Papachristou, Siddhartha Banerjee, Jon Kleinberg, WWW ‘23 PDF Cite arXiv Link
[conf] Robust pseudo-markets for reusable public resources (2023) Siddhartha Banerjee, Giannis Fikioris, Éva Tardos, EC ‘23 PDF Cite arXiv Link
[conf] Graph searching with predictions (2023) Siddhartha Banerjee, Vincent Cohen-Addad, Anupam Gupta, Zhouzi Li, ITCS ‘23 PDF Cite arXiv Link
[conf] Online team formation under different synergies (2022) Matthew Eichhorn, Siddhartha Banerjee, David Kempe, WINE ‘22 Cite
[preprint] Artificial replay: a meta-algorithm for harnessing historical data in bandits (2022) Siddhartha Banerjee, Sean R. Sinclair, Milind Tambe, Lily Xu, Christina Lee Yu, Preprint PDF Cite arXiv
[preprint] Proportionally fair online allocation of public goods with predictions (2022) Siddhartha Banerjee, Vasilis Gkatzelis, Safwan Hossain, Billy Jin, Evi Micha, Nisarg Shah, Preprint PDF Cite arXiv
[conf] The limits of an information intermediary in auction design (2022) Reza Alijani, Siddhartha Banerjee, Kamesh Munagala, Kangning Wang, EC ‘22 PDF Cite arXiv
[conf] Sequential fair allocation: Achieving the optimal envy-efficiency tradeoff curve (2022) Sean R. Sinclair, Siddhartha Banerjee, Christina Lee Yu, SIGMETRICS ‘22 PDF Cite arXiv code
[jour] ORSuite: Benchmarking suite for sequential operations models (2022) Christopher Archer, Siddhartha Banerjee, Mayleen Cortez, Carrie Rucker, Sean R. Sinclair, Max Solberg, Qiaomin Xie, Christina Lee Yu, ACM SIGMETRICS Performance Evaluation Review Cite Link Repo Docs
[preprint] Fair and efficient allocation with quotas (2022) Siddhartha Banerjee, Matthew Eichhorn, David Kempe, Preprint PDF Cite arXiv
[conf] Online nash social welfare maximization with predictions (2022) Siddhartha Banerjee, Vasilis Gkatzelis, Artur Gorokh, Billy Jin, SODA ‘22 PDF Cite arXiv
[jour] Computing constrained shortest-paths at scale (2022) Alberto Vera, Siddhartha Banerjee, Samitha Samaranayake, Operations Research PDF Cite
[conf] Online Nash Social Welfare Maximization with Predictions (2021) Siddhartha Banerjee, Vasilis Gkatzelis, Artur Gorokh, Billy Jin, SODA ‘22 PDF Cite arXiv
[preprint] Pseudo-Competitive Games and Algorithmic Price Competition (2021) Chamsi Hssaine, Siddhartha Banerjee, Vijay Kamble, Preprint SSRN_id:3925242 PDF Cite SSRN
[conf] Threshold Tests as Quality Signals: Optimal Strategies, Equilibria, and Price of Anarchy (2021) Siddhartha Banerjee, David Kempe, Robert Kleinberg, WINE ‘21 Cite arXiv
[conf] The Remarkable Robustness of the Repeated Fisher Market (2021) Artur Gorokh, Siddhartha Banerjee, Krishnamurthy Iyer, EC ‘21 PDF Cite Video SSRN
[jour] Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework (2021) Siddhartha Banerjee, Daniel Freund, Thodoris Lykouris, Operations Research PDF Cite ArXiv
[conf] Real-Time Approximate Routing for Smart Transit Systems (2021) Siddhartha Banerjee, Chamsi Hssaine, Noemie Perivier, Samitha Samaranayake, SIGMETRICS ‘21 PDF Cite Link arXiv
[jour] Real-Time Approximate Routing for Smart Transit Systems (2021) Siddhartha Banerjee, Chamsi Hssaine, Noemie Perivier, Samitha Samaranayake, ACM POMACS PDF Cite Link arXiv
[jour] Computing Constrained Shortest-Paths at Scale (2020) Alberto Vera, Siddhartha Banerjee, Samitha Samaranayake, Operations Research PDF Cite
[preprint] Dynamic Assignment Control of a Closed Queueing Network under Complete Resource Pooling (2020) Siddhartha Banerjee, Yash Kanoria, Pengyu Qian, Preprint arXiv:1803.04959v3 PDF Cite Video ArXiv
[conf] Adaptive Discretization for Model-Based Reinforcement Learning (2020) Sean Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu, NeurIPS ‘20 PDF Cite Video arXiv Code
[jour] Online Allocation and Pricing: Constant Regret via Bellman Inequalities (2020) Alberto Vera, Siddhartha Banerjee, Itai Gurvich, Operations Research PDF Cite Link arXiv
[conf] Uniform Loss Algorithms for Online Stochastic Decision-Making With Applications to Bin Packing (2020) Siddhartha Banerjee, Daniel Freund, SIGMETRICS ‘20 PDF Cite Video Link SSRN
[conf] Predict and Match: Prophet Inequalities with Uncertain Supply (2020) Reza Alijani, Siddhartha Banerjee, Sreenivas Gollapudi, Kamesh Munagala, Kangning Wang, SIGMETRICS ‘20 PDF Cite Link arXiv
[conf] Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces (2020) Sean Sinclair, Siddhartha Banerjee, Christina Lee Yu, SIGMETRICS ‘20 PDF Cite Video Link arXiv code
[jour] Predict and Match: Prophet Inequalities with Uncertain Supply (2020) Reza Alijani, Siddhartha Banerjee, Sreenivas Gollapudi, Kamesh Munagala, Kangning Wang, ACM POMACS PDF Cite Link arXiv
[jour] From Monetary to Non-Monetary Mechanism Design via Artificial Currencies (2020) Artur Gorokh, Siddhartha Banerjee, Krishnamurthy Iyer, Mathematics of Operations Research PDF Cite Video SSRN
[jour] The Bayesian Prophet: A Low-Regret Framework for Online Decision Making (2020) Alberto Vera, Siddhartha Banerjee, Management Science PDF Cite Video Link arXiv
[jour] Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces (2019) Sean Sinclair, Siddhartha Banerjee, Christina Lee Yu, ACM POMACS PDF Cite Video Link arXiv Code
[conf] The Segmentation-Thickness Tradeoff in Online Marketplaces (2019) Reza Alijani, Siddhartha Banerjee, Sreenivas Gollapudi, Kostas Kollias, Kamesh Munagala, SIGMETRICS ‘19 PDF Cite Link arXiv
[jour] The Segmentation-Thickness Tradeoff in Online Marketplaces (2019) Reza Alijani, Siddhartha Banerjee, Sreenivas Gollapudi, Kostas Kollias, Kamesh Munagala, ACM POMACS PDF Cite Link arXiv
[conf] The Bayesian Prophet: A Low-Regret Framework for Online Decision Making (2019) Alberto Vera, Siddhartha Banerjee, SIGMETRICS ‘19 PDF Cite Video Link arXiv
[chapter] Ride Sharing (2019) Siddhartha Banerjee, Ramesh Johari, Sharing Economy, Springer Series in Supply Chain Management PDF Cite link
[conf] Information signal design for incentivizing team formation (2018) Chamsi Hssaine, Siddhartha Banerjee, WINE ‘18 Cite arXiv
[conf] The Price of Fragmentation in Mobility-on-Demand Services (2018) Thibault Séjourné, Samitha Samaranayake, Siddhartha Banerjee, SIGMETRICS ‘18 PDF Cite ArXiv
[conf] State Dependent Control of Closed Queueing Networks (2018) Siddhartha Banerjee, Yash Kanoria, Pengyu Qian, SIGMETRICS ‘18 PDF Cite Link ArXiv
[preprint] When Bribes are Harmless: The Power and Limits of Collusion-Resilient Mechanism Design (2018) Artur Gorokh, Siddhartha Banerjee, Krishnamurthy Iyer, Preprint SSRN_id:3125003 PDF Cite SSRN
[jour] The Price of Fragmentation in Mobility-on-Demand Services (2018) Thibault Séjourné, Samitha Samaranayake, Siddhartha Banerjee, ACM POMACS PDF Cite Link ArXiv
[conf] Segmenting Two-Sided Markets (2017) Siddhartha Banerjee, Sreenivas Gollapudi, Kostas Kollias, Kamesh Munagala, WWW ‘17 PDF Cite link SSRN
[conf] From Monetary to Non-Monetary Mechanism Design via Artificial Currencies (2017) Artur Gorokh, Siddhartha Banerjee, Krishnamurthy Iyer, EC ‘17 Cite
[conf] Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework (2017) Siddhartha Banerjee, Daniel Freund, Thodoris Lykouris, EC ‘17 PDF Cite ArXiv
[conf] Near-Efficient Allocation Using Artificial Currency in Repeated Settings (2016) Artur Gorokh, Siddhartha Banerjee, Krishnamurthy Iyer, WINE ‘16 Cite Video SSRN
[conf] Sublinear estimation of a single element in sparse linear systems (2016) Nitin Shyamkumar, Siddhartha Banerjee, Peter Lofgren, Allerton ‘16 PDF Cite link
[jour] The Importance of Exploration in Online Marketplaces (2016) Siddhartha Banerjee, Ramesh Johari, Zhengyuan Zhou, Internet Computing Cite link
[conf] Personalized pagerank estimation and search: A bidirectional approach (2016) Peter Lofgren, Siddhartha Banerjee, Ashish Goel, WSDM ‘16 Cite link arXiv PDF Code
[jour] Online Collaborative-Filtering on Graphs (2016) Siddhartha Banerjee, Sujay Sanghavi, Sanjay Shakkottai, Operations Research PDF Cite Link arXiv
[jour] The Price of Privacy in Untrusted Recommendation Engines (2015) Siddhartha Banerjee, Nidhi Hegde, Laurent Massoulié, IEEE JSTSP PDF Cite Link arXiv
[conf] Bidirectional PageRank Estimation: From Average-Case to Worst-Case (2015) Peter Lofgren, Siddhartha Banerjee, Ashish Goel, WAW ‘15 Cite link arXiv PDF
[conf] Pricing in Ride-Sharing Platforms: A Queueing-Theoretic Approach (2015) Siddhartha Banerjee, Ramesh Johari, Carlos Riquelme, EC ‘15 Cite
[conf] Fast Bidirectional Probability Estimation in Markov Models (2015) Siddhartha Banerjee, Peter Lofgren, NeurIPS ‘15 PDF Cite arXiv Code
[conf] The Importance of Exploration in Online Marketplaces (2014) Siddhartha Banerjee, Ramesh Johari, Zhengyuan Zhou, CDC ‘14 PDF Cite link
[conf] Re-incentivizing discovery: Mechanisms for partial-progress sharing in research (2014) Siddhartha Banerjee, Ashish Goel, Anilesh Krishnaswamy, EC ‘14 PDF Cite Link arXiv
[jour] Epidemic Spreading With External Agents (2014) Siddhartha Banerjee, Aditya Gopalan, Abhik K. Das, Sanjay Shakkottai, IEEE Trans. Inf. Theory PDF Cite Link arXiv
[conf] The behavior of epidemics under bounded susceptibility (2014) S. Krishnasamy, Siddhartha Banerjee, S. Shakkottai, SIGMETRICS ‘14 PDF Cite Link arXiv
[conf] FAST-PPR: scaling personalized pagerank estimation for large graphs (2014) Peter Lofgren, Siddhartha Banerjee, Ashish Goel, C. Seshadhri, KDD ‘14 PDF Cite Video Link arXiv Code
[conf] Epidemic thresholds with external agents (2014) Siddhartha Banerjee, A.Chatterjee, S. Shakkottai, INFOCOM ‘14 Cite
[conf] Linear network coding for multiple groupcast sessions: An interference alignment approach (2013) A. K. Das, Siddhartha Banerjee, S. Vishwanath, ITW ‘13 Cite
[conf] Greedy Sensor Selection: Leveraging Submodularity (2012) Manohar Shamaiah, Siddhartha Banerjee, Haris Vikalo, CDC ‘10 PDF Cite Link
[jour] Greedy Sensor Selection under Channel Uncertainty (2012) Manohar Shamaiah, Siddhartha Banerjee, Haris Vikalo, IEEE Wireless Comm. Letters PDF Cite Link
[jour] Towards a queueing-based framework for in-network function computation (2012) Siddhartha Banerjee, Piyush Gupta, Sanjay Shakkottai, QUESTA PDF Cite Link arXiv
[conf] The Price of Privacy in Untrusted Recommendation Engines (2012) Siddhartha Banerjee, Nidhi Hegde, Laurent Massoulié, Allerton ‘12 PDF Cite arXiv
[jour] On distributed scheduling with heterogeneously delayed network-state information (2012) Aneesh A. Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, Lei Ying, QUESTA PDF Cite Link
[jour] Feedback Allocation for OFDMA Systems With Slow Frequency-Domain Scheduling (2012) H. Ganapathy, Siddhartha Banerjee, N. B. Dimitrov, C. Caramanis, IEEE Transactions on Signal Processing Cite
[conf] Greedy learning of Markov network structure (2010) P. Netrapalli, Siddhartha Banerjee, S. Sanghavi, S. Shakkottai, Allerton ‘10 Cite