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@inproceedings{DBLP:conf/soda/AgarwalKLPWWZ24,
  author       = {Arpit Agarwal and
                  Sanjeev Khanna and
                  Huan Li and
                  Prathamesh Patil and
                  Chen Wang and
                  Nathan White and
                  Peilin Zhong},
  title        = {Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic
                  Depth},
  booktitle    = {{SODA}},
  pages        = {3997--4061},
  publisher    = {{SIAM}},
  year         = {2024}
}

@article{DBLP:journals/corr/abs-2402-14013,
  author       = {Arpit Agarwal and
                  Rad Niazadeh and
                  Prathamesh Patil},
  title        = {Misalignment, Learning, and Ranking: Harnessing Users Limited Attention},
  journal      = {CoRR},
  volume       = {abs/2402.14013},
  year         = {2024}
}

@article{DBLP:journals/corr/abs-2402-14950,
  author       = {Arpit Agarwal and
                  Sanjeev Khanna and
                  Huan Li and
                  Prathamesh Patil and
                  Chen Wang and
                  Nathan White and
                  Peilin Zhong},
  title        = {Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic
                  Depth},
  journal      = {CoRR},
  volume       = {abs/2402.14950},
  year         = {2024}
}

@article{DBLP:journals/bigdatama/AlbayatiFTPGR23,
  author       = {Mohammed G. Albayati and
                  Jalal Faraj and
                  Amy E. Thompson and
                  Prathamesh Patil and
                  Ravi Gorthala and
                  Sanguthevar Rajasekaran},
  title        = {Semi-Supervised Machine Learning for Fault Detection and Diagnosis
                  of a Rooftop Unit},
  journal      = {Big Data Min. Anal.},
  volume       = {6},
  number       = {2},
  pages        = {170--184},
  year         = {2023}
}

@article{DBLP:journals/simpra/MoneABKP22,
  author       = {Prathamesh Mone and
                  Hrishikesh Athalye and
                  Chetas Borse and
                  Deepak D. Kshirsagar and
                  Sachin D. Patil},
  title        = {Testbed based analysis of Linux queue disciplines over Internet traffic
                  mix},
  journal      = {Simul. Model. Pract. Theory},
  volume       = {120},
  pages        = {102601},
  year         = {2022}
}

@inproceedings{DBLP:conf/aistats/AgarwalKP22,
  author       = {Arpit Agarwal and
                  Sanjeev Khanna and
                  Prathamesh Patil},
  title        = {{PAC} Top-k Identification under {SST} in Limited Rounds},
  booktitle    = {{AISTATS}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {151},
  pages        = {6814--6839},
  publisher    = {{PMLR}},
  year         = {2022}
}

@inproceedings{DBLP:conf/colt/AgarwalKP22,
  author       = {Arpit Agarwal and
                  Sanjeev Khanna and
                  Prathamesh Patil},
  title        = {A Sharp Memory-Regret Trade-off for Multi-Pass Streaming Bandits},
  booktitle    = {{COLT}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {178},
  pages        = {1423--1462},
  publisher    = {{PMLR}},
  year         = {2022}
}

@inproceedings{DBLP:conf/nips/AgarwalKLP22,
  author       = {Arpit Agarwal and
                  Sanjeev Khanna and
                  Huan Li and
                  Prathamesh Patil},
  title        = {Sublinear Algorithms for Hierarchical Clustering},
  booktitle    = {NeurIPS},
  year         = {2022}
}

@article{DBLP:journals/corr/abs-2205-00984,
  author       = {Arpit Agarwal and
                  Sanjeev Khanna and
                  Prathamesh Patil},
  title        = {A Sharp Memory-Regret Trade-Off for Multi-Pass Streaming Bandits},
  journal      = {CoRR},
  volume       = {abs/2205.00984},
  year         = {2022}
}

@article{DBLP:journals/corr/abs-2206-07633,
  author       = {Arpit Agarwal and
                  Sanjeev Khanna and
                  Huan Li and
                  Prathamesh Patil},
  title        = {Sublinear Algorithms for Hierarchical Clustering},
  journal      = {CoRR},
  volume       = {abs/2206.07633},
  year         = {2022}
}

@inproceedings{DBLP:conf/alt/Agarwal0P21,
  author       = {Arpit Agarwal and
                  Shivani Agarwal and
                  Prathamesh Patil},
  title        = {Stochastic Dueling Bandits with Adversarial Corruption},
  booktitle    = {{ALT}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {132},
  pages        = {217--248},
  publisher    = {{PMLR}},
  year         = {2021}
}

@inproceedings{DBLP:conf/ficta/GambhirPPTCPMRS21,
  author       = {Jinendra Gambhir and
                  Naveen Patel and
                  Shrinivas Patil and
                  Prathamesh Takale and
                  Archana Chougule and
                  Chandra Shekhar Prabhakar and
                  Kalmesh Managanvi and
                  A. Srinivasa Raghavan and
                  R. K. Sohane},
  title        = {Deep Learning for Real-Time Diagnosis of Pest and Diseases on Crops},
  booktitle    = {{FICTA} {(1)}},
  series       = {Smart Innovation, Systems and Technologies},
  volume       = {266},
  pages        = {189--197},
  publisher    = {Springer},
  year         = {2021}
}

@inproceedings{DBLP:conf/icml/0001AKP20,
  author       = {Arpit Agarwal and
                  Shivani Agarwal and
                  Sanjeev Khanna and
                  Prathamesh Patil},
  title        = {Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial
                  Corruptions},
  booktitle    = {{ICML}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {119},
  pages        = {85--95},
  publisher    = {{PMLR}},
  year         = {2020}
}

@inproceedings{DBLP:conf/icml/AgarwalPA18,
  author       = {Arpit Agarwal and
                  Prathamesh Patil and
                  Shivani Agarwal},
  title        = {Accelerated Spectral Ranking},
  booktitle    = {{ICML}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {80},
  pages        = {70--79},
  publisher    = {{PMLR}},
  year         = {2018}
}