Ashwinkumar Badanidiyuru

47 papers A* 17A 1Journal 24Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Auto-Bidding and Auctions in Online Advertising: A Survey.
SIGecom Exch.
Gagan Aggarwal, Ashwinkumar Badanidiyuru, Santiago R. Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Gagan Goel, Christopher Liaw, Haihao Lu, Mohammad Mahdian, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Andrés Perlroth, Georgios Piliouras, Jon Schneider, Ariel Schvartzman, Balasubramanian Sivan, Kelly Spendlove, Yifeng Teng, Di Wang, Hanrui Zhang, Mingfei Zhao, Wennan Zhu, Song Zuo
2024 J jnl
Auto-bidding and Auctions in Online Advertising: A Survey.
CoRR
Gagan Aggarwal, Ashwinkumar Badanidiyuru, Santiago R. Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Gagan Goel, Christopher Liaw, Haihao Lu, Mohammad Mahdian, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Andrés Perlroth, Georgios Piliouras, Jon Schneider, Ariel Schvartzman, Balasubramanian Sivan, Kelly Spendlove, Yifeng Teng, Di Wang, Hanrui Zhang, Mingfei Zhao, Wennan Zhu, Song Zuo
2024 A conf
Generalization and Learnability in Multiple Instance Regression.
UAI
Kushal Chauhan, Rishi Saket, Lorne Applebaum, Ashwinkumar Badanidiyuru, Chandan Giri, Aravindan Raghuveer
2024 A* conf
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions.
ICLR
Adel Javanmard, Lin Chen, Vahab Mirrokni, Ashwinkumar Badanidiyuru, Gang Fu
2024 J jnl
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions.
CoRR
Adel Javanmard, Lin Chen, Vahab Mirrokni, Ashwinkumar Badanidiyuru, Gang Fu
2024 A* conf
Selling Joint Ads: A Regret Minimization Perspective.
EC
Gagan Aggarwal, Ashwinkumar Badanidiyuru, Paul Duetting, Federico Fusco
2024 J jnl
Selling Joint Ads: A Regret Minimization Perspective.
CoRR
Gagan Aggarwal, Ashwinkumar Badanidiyuru, Paul Dütting, Federico Fusco
2023 J jnl
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts.
CoRR
Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru, Haifeng Xu
2023 A* conf
Learning to Bid in Contextual First Price Auctions✱.
WWW
Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh
2023 J jnl
Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization.
Manag. Sci.
Rad Niazadeh, Negin Golrezaei, Joshua R. Wang, Fransisca Susan, Ashwinkumar Badanidiyuru
2023 J jnl
Optimal Unbiased Randomizers for Regression with Label Differential Privacy.
CoRR
Ashwinkumar Badanidiyuru, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Avinash V. Varadarajan, Chiyuan Zhang
2022 J jnl
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards.
CoRR
Ashwinkumar Badanidiyuru, Zhe Feng, Tianxi Li, Haifeng Xu
2021 J jnl
Auctioning with Strategically Reticent Bidders.
CoRR
Jibang Wu, Ashwinkumar Badanidiyuru, Haifeng Xu
2021 J jnl
Handling many conversions per click in modeling delayed feedback.
CoRR
Ashwinkumar Badanidiyuru, Andrew Evdokimov, Vinodh Krishnan, Pan Li, Wynn Vonnegut, Jayden Wang
2021 J jnl
Learning to Bid in Contextual First Price Auctions.
CoRR
Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh
2021 A* conf
Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization.
EC
Rad Niazadeh, Negin Golrezaei, Joshua R. Wang, Fransisca Susan, Ashwinkumar Badanidiyuru
2021 J jnl
Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization.
CoRR
Rad Niazadeh, Negin Golrezaei, Joshua R. Wang, Fransisca Susan, Ashwinkumar Badanidiyuru
2020 A* conf
Submodular Maximization Through Barrier Functions.
NeurIPS
Ashwinkumar Badanidiyuru, Amin Karbasi, Ehsan Kazemi, Jan Vondrák
2020 J jnl
Submodular Maximization Through Barrier Functions.
CoRR
Ashwinkumar Badanidiyuru, Amin Karbasi, Ehsan Kazemi, Jan Vondrák
2019 — conf
Autobidding with Constraints.
WINE
Gagan Aggarwal, Ashwinkumar Badanidiyuru, Aranyak Mehta
2019 J jnl
Optimization with Demand Oracles.
Algorithmica
Ashwinkumar Badanidiyuru, Shahar Dobzinski, Sigal Oren
2019 — conf
Response Prediction for Low-Regret Agents.
WINE
Saeed Alaei, Ashwinkumar Badanidiyuru, Mohammad Mahdian, Sadra Yazdanbod
2019 J jnl
Response Prediction for Low-Regret Agents.
CoRR
Saeed Alaei, Ashwinkumar Badanidiyuru, Mohammad Mahdian, Sadra Yazdanbod
2018 J jnl
Bandits with Knapsacks.
J. ACM
Ashwinkumar Badanidiyuru, Robert Kleinberg, Aleksandrs Slivkins
2018 A* conf
Targeting and Signaling in Ad Auctions.
SODA
Ashwinkumar Badanidiyuru, Kshipra Bhawalkar, Haifeng Xu
2017 J jnl
Targeting and Signaling in Ad Auctions.
CoRR
Ashwinkumar Badanidiyuru, Kshipra Bhawalkar, Haifeng Xu
2016 A* conf
Fast Constrained Submodular Maximization: Personalized Data Summarization.
ICML
Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi
2016 A* conf
Locally Adaptive Optimization: Adaptive Seeding for Monotone Submodular Functions.
SODA
Ashwinkumar Badanidiyuru, Christos H. Papadimitriou, Aviad Rubinstein, Lior Seeman, Yaron Singer
2015 — conf
Distributed Submodular Cover: Succinctly Summarizing Massive Data.
NIPS
Baharan Mirzasoleiman, Amin Karbasi, Ashwinkumar Badanidiyuru, Andreas Krause
2015 A* conf
Lazier Than Lazy Greedy.
AAAI
Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi, Jan Vondrák, Andreas Krause
2015 J jnl
Locally Adaptive Optimization: Adaptive Seeding for Monotone Submodular Functions.
CoRR
Ashwinkumar Badanidiyuru, Christos H. Papadimitriou, Aviad Rubinstein, Lior Seeman, Yaron Singer
2014 A* conf
Fast algorithms for maximizing submodular functions.
SODA
Ashwinkumar Badanidiyuru, Jan Vondrák
2014 J jnl
Lazier Than Lazy Greedy.
CoRR
Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi, Jan Vondrák, Andreas Krause
2014 A* conf
Resourceful Contextual Bandits.
COLT
Ashwinkumar Badanidiyuru, John Langford, Aleksandrs Slivkins
2014 J jnl
Resourceful Contextual Bandits.
CoRR
Ashwinkumar Badanidiyuru, John Langford, Aleksandrs Slivkins
2014 A* conf
Robust Multi-objective Learning with Mentor Feedback.
COLT
Alekh Agarwal, Ashwinkumar Badanidiyuru, Miroslav Dudík, Robert E. Schapire, Aleksandrs Slivkins
2014 — —
Sequential Decision Making With Resource Constraints.
Ashwinkumar Badanidiyuru
2014 A* conf
Streaming submodular maximization: massive data summarization on the fly.
KDD
Ashwinkumar Badanidiyuru, Baharan Mirzasoleiman, Amin Karbasi, Andreas Krause
2013 J jnl
Bandits with Knapsacks
CoRR
Ashwinkumar Badanidiyuru, Robert Kleinberg, Aleksandrs Slivkins
2013 A* conf
Bandits with Knapsacks.
FOCS
Ashwinkumar Badanidiyuru, Robert Kleinberg, Aleksandrs Slivkins
2012 — conf
Approximating low-dimensional coverage problems.
SCG
Ashwinkumar Badanidiyuru, Robert Kleinberg, Hooyeon Lee
2012 A* conf
Learning on a budget: posted price mechanisms for online procurement.
EC
Ashwinkumar Badanidiyuru, Robert Kleinberg, Yaron Singer
2012 J jnl
On the trade-off between network connectivity, round complexity, and communication complexity of reliable message transmission.
J. ACM
Ashwinkumar Badanidiyuru, Arpita Patra, Ashish Choudhury, Kannan Srinathan, C. Pandu Rangan
2012 A* conf
Optimization with demand oracles.
EC
Ashwinkumar Badanidiyuru, Shahar Dobzinski, Sigal Oren
2012 A* conf
Sketching valuation functions.
SODA
Ashwinkumar Badanidiyuru, Shahar Dobzinski, Hu Fu, Robert Kleinberg, Noam Nisan, Tim Roughgarden
2011 J jnl
Approximating Low-Dimensional Coverage Problems
CoRR
Ashwinkumar Badanidiyuru, Robert Kleinberg, Hooyeon Lee
2011 J jnl
Optimization with Demand Oracles
CoRR
Ashwinkumar Badanidiyuru, Shahar Dobzinski, Sigal Oren