Ashwinkumar Badanidiyuru

Paul Duetting

Federico Fusco

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions.

[BibT_eX]

[DOI]

Adel Javanmard

Lin Chen

Vahab Mirrokni

Gang Fu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization.

[BibT_eX]

[DOI]

Manag. Sci., July, 2023

Learning to Bid in Contextual First Price Auctions✱.

[BibT_eX]

[DOI]

Zhe Feng

Guru Guruganesh

Proceedings of the ACM Web Conference 2023, 2023

Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts.

[BibT_eX]

[DOI]

Chaoqi Wang

Ziyu Ye

Zhe Feng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Unbiased Randomizers for Regression with Label Differential Privacy.

[BibT_eX]

[DOI]

Avinash V. Varadarajan

Chiyuan Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards.

[BibT_eX]

[DOI]

Zhe Feng

Tianxi Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Auctioning with Strategically Reticent Bidders.

[BibT_eX]

[DOI]

Jibang Wu

CoRR, 2021

Handling many conversions per click in modeling delayed feedback.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Submodular Maximization Through Barrier Functions.

[BibT_eX]

[DOI]

Ehsan Kazemi

Jan Vondrák

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Optimization with Demand Oracles.

[BibT_eX]

[DOI]

Shahar Dobzinski

Sigal Oren

Algorithmica, 2019

Response Prediction for Low-Regret Agents.

[BibT_eX]

[DOI]

Saeed Alaei

Mohammad Mahdian

Sadra Yazdanbod

Proceedings of the Web and Internet Economics - 15th International Conference, 2019

Autobidding with Constraints.

[BibT_eX]

[DOI]

Gagan Aggarwal

Aranyak Mehta

Proceedings of the Web and Internet Economics - 15th International Conference, 2019

2018

Bandits with Knapsacks.

[BibT_eX]

[DOI]

Aleksandrs Slivkins

J. ACM, 2018

Targeting and Signaling in Ad Auctions.

[BibT_eX]

[DOI]

Kshipra Bhawalkar

Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

2016

Locally Adaptive Optimization: Adaptive Seeding for Monotone Submodular Functions.

[BibT_eX]

[DOI]

Christos H. Papadimitriou

Aviad Rubinstein

Lior Seeman

Yaron Singer

Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016

Fast Constrained Submodular Maximization: Personalized Data Summarization.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Distributed Submodular Cover: Succinctly Summarizing Massive Data.

[BibT_eX]

[DOI]

Andreas Krause

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

Lazier Than Lazy Greedy.

[BibT_eX]

[DOI]

Jan Vondrák

Andreas Krause

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Sequential Decision Making With Resource Constraints.

[BibT_eX]

PhD thesis, 2014

Fast algorithms for maximizing submodular functions.

[BibT_eX]

[DOI]

Jan Vondrák

Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

Streaming submodular maximization: massive data summarization on the fly.

[BibT_eX]

[DOI]

Andreas Krause

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Resourceful Contextual Bandits.

[BibT_eX]

[DOI]

John Langford

Aleksandrs Slivkins

Proceedings of The 27th Conference on Learning Theory, 2014

Robust Multi-objective Learning with Mentor Feedback.

[BibT_eX]

[DOI]

Alekh Agarwal

Miroslav Dudík

Robert E. Schapire

Aleksandrs Slivkins

Proceedings of The 27th Conference on Learning Theory, 2014

2012

On the trade-off between network connectivity, round complexity, and communication complexity of reliable message transmission.

[BibT_eX]

[DOI]

J. ACM, 2012

Sketching valuation functions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms, 2012

Learning on a budget: posted price mechanisms for online procurement.

[BibT_eX]

[DOI]

Yaron Singer

Proceedings of the 13th ACM Conference on Electronic Commerce, 2012

Approximating low-dimensional coverage problems.

[BibT_eX]

[DOI]

Hooyeon Lee

Proceedings of the 28th ACM Symposium on Computational Geometry, 2012

2011

Secure message transmission in asynchronous networks.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2011

Buyback Problem - Approximate Matroid Intersection with Cancellation Costs.

[BibT_eX]

[DOI]

Proceedings of the Automata, Languages and Programming - 38th International Colloquium, 2011

2009

Randomized Online Algorithms for the Buyback Problem.

[BibT_eX]

[DOI]

B. V. Ashwinkumar