Perfectly Reliable and Secure Communication Tolerating Static and Mobile Mixed Adversary. - Ashish Choudhary; Arpita Patra; B. V. Ashwinkumar; K. Srinathan 001; C. Pandu Rangan (ICITS, 2008)

On tradeoff between network connectivity, phase complexity and communication complexity of reliable communication tolerating mixed adversary. - B. V. Ashwinkumar; Arpita Patra; Ashish Choudhary; Kannan Srinathan; C. Pandu Rangan (PODC, 2008)

Perfectly Secure Message Transmission Tolerating Mixed Adversary. - Arpita Patra; Ashish Choudhury; B. V. Ashwinkumar; Kannan Srinathan; C. Pandu Rangan (IACR Cryptol. ePrint Arch., 2008)

On Minimal Connectivity Requirement for Secure Message Transmission in Asynchronous Networks. - Ashish Choudhary; Arpita Patra; B. V. Ashwinkumar; Kannan Srinathan; C. Pandu Rangan (ICDCN, 2009)

Randomized Online Algorithms for the Buyback Problem. - B. V. Ashwinkumar; Robert Kleinberg (WINE, 2009)

Buyback Problem - Approximate Matroid Intersection with Cancellation Costs. - Ashwinkumar Badanidiyuru Varadaraja (ICALP (1), 2011)

Secure message transmission in asynchronous networks. - Ashish Choudhury; Arpita Patra; B. V. Ashwinkumar; Kannan Srinathan; C. Pandu Rangan (J. Parallel Distributed Comput., 2011)

Approximating low-dimensional coverage problems. - Ashwinkumar Badanidiyuru; Robert Kleinberg; Hooyeon Lee (SCG, 2012)

Learning on a budget: posted price mechanisms for online procurement. - Ashwinkumar Badanidiyuru; Robert Kleinberg; Yaron Singer (EC, 2012)

Sketching valuation functions. - Ashwinkumar Badanidiyuru; Shahar Dobzinski; Hu Fu 001; Robert Kleinberg; Noam Nisan; Tim Roughgarden (SODA, 2012)

On the trade-off between network connectivity, round complexity, and communication complexity of reliable message transmission. - Ashwinkumar Badanidiyuru; Arpita Patra; Ashish Choudhury; Kannan Srinathan; C. Pandu Rangan (J. ACM, 2012)

Robust Multi-objective Learning with Mentor Feedback. - Alekh Agarwal; Ashwinkumar Badanidiyuru; Miroslav Dudík; Robert E. Schapire; Aleksandrs Slivkins (COLT, 2014)

Resourceful Contextual Bandits. - Ashwinkumar Badanidiyuru; John Langford 001; Aleksandrs Slivkins (COLT, 2014)

Streaming submodular maximization: massive data summarization on the fly. - Ashwinkumar Badanidiyuru; Baharan Mirzasoleiman; Amin Karbasi; Andreas Krause 001 (KDD, 2014)

Fast algorithms for maximizing submodular functions. - Ashwinkumar Badanidiyuru; Jan Vondrák (SODA, 2014)

Sequential Decision Making With Resource Constraints. - Ashwinkumar Badanidiyuru (2014)

Lazier Than Lazy Greedy. - Baharan Mirzasoleiman; Ashwinkumar Badanidiyuru; Amin Karbasi; Jan Vondrák; Andreas Krause 001 (AAAI, 2015)

Distributed Submodular Cover: Succinctly Summarizing Massive Data. - Baharan Mirzasoleiman; Amin Karbasi; Ashwinkumar Badanidiyuru; Andreas Krause 001 (NIPS, 2015)

Fast Constrained Submodular Maximization: Personalized Data Summarization. - Baharan Mirzasoleiman; Ashwinkumar Badanidiyuru; Amin Karbasi (ICML, 2016)

Locally Adaptive Optimization: Adaptive Seeding for Monotone Submodular Functions. - Ashwinkumar Badanidiyuru; Christos H. Papadimitriou; Aviad Rubinstein; Lior Seeman; Yaron Singer (SODA, 2016)

Targeting and Signaling in Ad Auctions. - Ashwinkumar Badanidiyuru; Kshipra Bhawalkar; Haifeng Xu (SODA, 2018)

Bandits with Knapsacks. - Ashwinkumar Badanidiyuru; Robert Kleinberg; Aleksandrs Slivkins (J. ACM, 2018)

Autobidding with Constraints. - Gagan Aggarwal; Ashwinkumar Badanidiyuru; Aranyak Mehta (WINE, 2019)

Response Prediction for Low-Regret Agents. - Saeed Alaei; Ashwinkumar Badanidiyuru; Mohammad Mahdian; Sadra Yazdanbod (WINE, 2019)

Optimization with Demand Oracles. - Ashwinkumar Badanidiyuru; Shahar Dobzinski; Sigal Oren (Algorithmica, 2019)

Submodular Maximization Through Barrier Functions. - Ashwinkumar Badanidiyuru; Amin Karbasi; Ehsan Kazemi 001; Jan Vondrák (NeurIPS, 2020)

Handling many conversions per click in modeling delayed feedback. - Ashwinkumar Badanidiyuru; Andrew Evdokimov; Vinodh Krishnan; Pan Li; Wynn Vonnegut; Jayden Wang (CoRR, 2021)

Auctioning with Strategically Reticent Bidders. - Jibang Wu; Ashwinkumar Badanidiyuru; Haifeng Xu (CoRR, 2021)

Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards. - Ashwinkumar Badanidiyuru Varadaraja; Zhe Feng 004; Tianxi Li; Haifeng Xu (NeurIPS, 2022)

Optimal Unbiased Randomizers for Regression with Label Differential Privacy. - Ashwinkumar Badanidiyuru Varadaraja; Badih Ghazi; Pritish Kamath; Ravi Kumar 001; Ethan Leeman; Pasin Manurangsi; Avinash V. Varadarajan; Chiyuan Zhang (NeurIPS, 2023)

Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts. - Chaoqi Wang; Ziyu Ye; Zhe Feng 004; Ashwinkumar Badanidiyuru Varadaraja; Haifeng Xu (NeurIPS, 2023)

Learning to Bid in Contextual First Price Auctions✱. - Ashwinkumar Badanidiyuru; Zhe Feng 004; Guru Guruganesh (WWW, 2023)

Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization. - Rad Niazadeh; Negin Golrezaei; Joshua R. Wang; Fransisca Susan; Ashwinkumar Badanidiyuru (Manag. Sci., 2023)

Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions. - Adel Javanmard; Lin Chen; Vahab Mirrokni; Ashwinkumar Badanidiyuru; Gang Fu (ICLR, 2024)

Selling Joint Ads: A Regret Minimization Perspective. - Gagan Aggarwal; Ashwinkumar Badanidiyuru; Paul Duetting; Federico Fusco (EC, 2024)

Generalization and Learnability in Multiple Instance Regression. - Kushal Chauhan; Rishi Saket; Lorne Applebaum; Ashwinkumar Badanidiyuru; Chandan Giri; Aravindan Raghuveer (UAI, 2024)

Auto-Bidding and Auctions in Online Advertising: A Survey. - Gagan Aggarwal; Ashwinkumar Badanidiyuru; Santiago R. Balseiro; Kshipra Bhawalkar; Yuan Deng; Zhe Feng 004; Gagan Goel; Christopher Liaw; Haihao Lu; Mohammad Mahdian; Jieming Mao; Aranyak Mehta; et al. (SIGecom Exch., 2024)