Gollapudi, Sreenivas

20 publications

ICML 2025 Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification Eric Zhao, Pranjal Awasthi, Sreenivas Gollapudi

AISTATS 2024 Deep Learning-Based Alternative Route Computation Alex Zhai, Dee Guo, Sreenivas Gollapudi, Kostas Kollias, Daniel Delling

AISTATS 2024 First Passage Percolation with Queried Hints Kritkorn Karntikoon, Yiheng Shen, Sreenivas Gollapudi, Kostas Kollias, Aaron Schild, Ali K Sinop

NeurIPS 2024 ReMI: A Dataset for Reasoning with Multiple Images Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Dee Guo, Sreenivas Gollapudi, Ahmed Qureshi

NeurIPS 2024 Semantic Routing via Autoregressive Modeling Eric Zhao, Pranjal Awasthi, Zhengdao Chen, Sreenivas Gollapudi, Daniel Delling

AAAI 2024 When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making Kate Donahue, Sreenivas Gollapudi, Kostas Kollias

NeurIPS 2023 Affinity-Aware Graph Networks Ameya Velingker, Ali Sinop, Ira Ktena, Petar Veličković, Sreenivas Gollapudi

ICMLW 2023 Efficient Location Sampling Algorithms for Road Networks Sara Ahmadian, Kostas Kollias, Ameya Velingker, Sreenivas Gollapudi, Vivek Kumar, Santhoshini Velusamy

ALT 2023 Online Learning for Traffic Navigation in Congested Networks Sreenivas Gollapudi, Kostas Kollias, Chinmay Maheshwari, Manxi Wu

AAAI 2022 Beyond GNNs: An Efficient Architecture for Graph Problems Pranjal Awasthi, Abhimanyu Das, Sreenivas Gollapudi

ICML 2022 Congested Bandits: Optimal Routing via Short-Term Resets Pranjal Awasthi, Kush Bhatia, Sreenivas Gollapudi, Kostas Kollias

NeurIPS 2021 A Convergence Analysis of Gradient Descent on Graph Neural Networks Pranjal Awasthi, Abhimanyu Das, Sreenivas Gollapudi

NeurIPS 2021 Contextual Recommendations and Low-Regret Cutting-Plane Algorithms Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias, Pasin Manurangsi, Renato Leme, Jon Schneider

NeurIPS 2020 Adaptive Probing Policies for Shortest Path Routing Aditya Bhaskara, Sreenivas Gollapudi, Kostas Kollias, Kamesh Munagala

ICML 2019 Hiring Under Uncertainty Manish Purohit, Sreenivas Gollapudi, Manish Raghavan

ICML 2019 Online Algorithms for Rent-or-Buy with Expert Advice Sreenivas Gollapudi, Debmalya Panigrahi

AAAI 2019 You Get What You Share: Incentives for a Sharing Economy Sreenivas Gollapudi, Kostas Kollias, Debmalya Panigrahi

ICML 2017 Algorithms for $\ell_p$ Low-Rank Approximation Flavio Chierichetti, Sreenivas Gollapudi, Ravi Kumar, Silvio Lattanzi, Rina Panigrahy, David P. Woodruff

JMLR 2013 Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi

ICML 2010 Learning Optimally Diverse Rankings over Large Document Collections Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi