Ashwinkumar Badanidiyuru

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 23

Top Topics

Data Summarization

Submodular Functions

Greedy Algorithm

Top Venues

Publications

Adel Javanmard, Lin Chen, Vahab Mirrokni, Ashwinkumar Badanidiyuru, Gang Fu
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions. CoRR (2024)
Adel Javanmard, Lin Chen, Vahab Mirrokni, Ashwinkumar Badanidiyuru, Gang Fu
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions. ICLR (2024)
Rad Niazadeh, Negin Golrezaei, Joshua R. Wang, Fransisca Susan, Ashwinkumar Badanidiyuru
Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization. Manag. Sci. 69 (7) (2023)
Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh
Learning to Bid in Contextual First Price Auctions✱. WWW (2023)
Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru, Haifeng Xu
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts. CoRR (2023)
Ashwinkumar Badanidiyuru, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Avinash V. Varadarajan, Chiyuan Zhang
Optimal Unbiased Randomizers for Regression with Label Differential Privacy. CoRR (2023)
Ashwinkumar Badanidiyuru, Zhe Feng, Tianxi Li, Haifeng Xu
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards. CoRR (2022)
Jibang Wu, Ashwinkumar Badanidiyuru, Haifeng Xu
Auctioning with Strategically Reticent Bidders. CoRR (2021)
Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh
Learning to Bid in Contextual First Price Auctions. CoRR (2021)
Rad Niazadeh, Negin Golrezaei, Joshua R. Wang, Fransisca Susan, Ashwinkumar Badanidiyuru
Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization. CoRR (2021)
Ashwinkumar Badanidiyuru, Andrew Evdokimov, Vinodh Krishnan, Pan Li, Wynn Vonnegut, Jayden Wang
Handling many conversions per click in modeling delayed feedback. CoRR (2021)
Rad Niazadeh, Negin Golrezaei, Joshua R. Wang, Fransisca Susan, Ashwinkumar Badanidiyuru
Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization. EC (2021)
Ashwinkumar Badanidiyuru, Amin Karbasi, Ehsan Kazemi, Jan Vondrák
Submodular Maximization Through Barrier Functions. CoRR (2020)
Ashwinkumar Badanidiyuru, Amin Karbasi, Ehsan Kazemi, Jan Vondrák
Submodular Maximization Through Barrier Functions. NeurIPS (2020)
Gagan Aggarwal, Ashwinkumar Badanidiyuru, Aranyak Mehta
Autobidding with Constraints. WINE (2019)
Ashwinkumar Badanidiyuru, Shahar Dobzinski, Sigal Oren
Optimization with Demand Oracles. Algorithmica 81 (6) (2019)
Saeed Alaei, Ashwinkumar Badanidiyuru, Mohammad Mahdian, Sadra Yazdanbod
Response Prediction for Low-Regret Agents. CoRR (2019)
Saeed Alaei, Ashwinkumar Badanidiyuru, Mohammad Mahdian, Sadra Yazdanbod
Response Prediction for Low-Regret Agents. WINE (2019)
Ashwinkumar Badanidiyuru, Kshipra Bhawalkar, Haifeng Xu
Targeting and Signaling in Ad Auctions. SODA (2018)
Ashwinkumar Badanidiyuru, Robert Kleinberg, Aleksandrs Slivkins
Bandits with Knapsacks. J. ACM 65 (3) (2018)
Ashwinkumar Badanidiyuru, Kshipra Bhawalkar, Haifeng Xu
Targeting and Signaling in Ad Auctions. CoRR (2017)
Ashwinkumar Badanidiyuru, Christos H. Papadimitriou, Aviad Rubinstein, Lior Seeman, Yaron Singer
Locally Adaptive Optimization: Adaptive Seeding for Monotone Submodular Functions. SODA (2016)
Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi
Fast Constrained Submodular Maximization: Personalized Data Summarization. ICML (2016)
Baharan Mirzasoleiman, Amin Karbasi, Ashwinkumar Badanidiyuru, Andreas Krause
Distributed Submodular Cover: Succinctly Summarizing Massive Data. NIPS (2015)
Ashwinkumar Badanidiyuru, Christos H. Papadimitriou, Aviad Rubinstein, Lior Seeman, Yaron Singer
Locally Adaptive Optimization: Adaptive Seeding for Monotone Submodular Functions. CoRR (2015)
Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi, Jan Vondrák, Andreas Krause
Lazier Than Lazy Greedy. AAAI (2015)
Ashwinkumar Badanidiyuru, John Langford, Aleksandrs Slivkins
Resourceful Contextual Bandits. COLT (2014)
Ashwinkumar Badanidiyuru, John Langford, Aleksandrs Slivkins
Resourceful Contextual Bandits. CoRR (2014)
Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi, Jan Vondrák, Andreas Krause
Lazier Than Lazy Greedy. CoRR (2014)
Ashwinkumar Badanidiyuru, Baharan Mirzasoleiman, Amin Karbasi, Andreas Krause
Streaming submodular maximization: massive data summarization on the fly. KDD (2014)
Ashwinkumar Badanidiyuru, Jan Vondrák
Fast algorithms for maximizing submodular functions. SODA (2014)
Alekh Agarwal, Ashwinkumar Badanidiyuru, Miroslav Dudík, Robert E. Schapire, Aleksandrs Slivkins
Robust Multi-objective Learning with Mentor Feedback. COLT (2014)
Ashwinkumar Badanidiyuru, Robert Kleinberg, Aleksandrs Slivkins
Bandits with Knapsacks CoRR (2013)
Ashwinkumar Badanidiyuru, Robert Kleinberg, Aleksandrs Slivkins
Bandits with Knapsacks. FOCS (2013)
Ashwinkumar Badanidiyuru, Shahar Dobzinski, Hu Fu, Robert Kleinberg, Noam Nisan, Tim Roughgarden
Sketching valuation functions. SODA (2012)
Ashwinkumar Badanidiyuru, Robert Kleinberg, Yaron Singer
Learning on a budget: posted price mechanisms for online procurement. EC (2012)
Ashwinkumar Badanidiyuru, Robert Kleinberg, Hooyeon Lee
Approximating low-dimensional coverage problems. SCG (2012)
Ashwinkumar Badanidiyuru, Shahar Dobzinski, Sigal Oren
Optimization with demand oracles. EC (2012)
Ashwinkumar Badanidiyuru, Arpita Patra, Ashish Choudhury, Kannan Srinathan, C. Pandu Rangan
On the trade-off between network connectivity, round complexity, and communication complexity of reliable message transmission. J. ACM 59 (5) (2012)
Ashwinkumar Badanidiyuru, Shahar Dobzinski, Sigal Oren
Optimization with Demand Oracles CoRR (2011)
Ashwinkumar Badanidiyuru, Robert Kleinberg, Hooyeon Lee
Approximating Low-Dimensional Coverage Problems CoRR (2011)