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- Mohammad Hossein Bateni 0001
aka: MohammadHossein Bateni
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Publication search results
found 87 matches
- 2024
- MohammadHossein Bateni, Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi:
A Scalable Algorithm for Individually Fair K-means Clustering. CoRR abs/2402.06730 (2024) - Taisuke Yasuda, Kyriakos Axiotis, Gang Fu, MohammadHossein Bateni, Vahab Mirrokni:
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization. CoRR abs/2402.17902 (2024) - 2023
- Amir Abboud, MohammadHossein Bateni, Vincent Cohen-Addad, Karthik C. S., Saeed Seddighin:
On Complexity of 1-Center in Various Metrics. APPROX/RANDOM 2023: 1:1-1:19 - Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, MohammadHossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Giulia DeSalvo, Ranjay Krishna, Ariel Fuxman:
Agile Modeling: From Concept to Classifier in Minutes. ICCV 2023: 22266-22277 - Taisuke Yasuda, Mohammad Hossein Bateni, Lin Chen, Matthew Fahrbach, Gang Fu, Vahab Mirrokni:
Sequential Attention for Feature Selection. ICLR 2023 - MohammadHossein Bateni, Hossein Esfandiari, Hendrik Fichtenberger, Monika Henzinger, Rajesh Jayaram, Vahab Mirrokni, Andreas Wiese:
Optimal Fully Dynamic k-Center Clustering for Adaptive and Oblivious Adversaries. SODA 2023: 2677-2727 - Sami Abu-El-Haija, Joshua V. Dillon, Bahare Fatemi, Kyriakos Axiotis, Neslihan Bulut, Johannes Gasteiger, Bryan Perozzi, MohammadHossein Bateni:
SubMix: Learning to Mix Graph Sampling Heuristics. UAI 2023: 1-10 - Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, MohammadHossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Ariel Fuxman:
Agile Modeling: Image Classification with Domain Experts in the Loop. CoRR abs/2302.12948 (2023) - MohammadHossein Bateni, Hossein Esfandiari, Hendrik Fichtenberger, Monika Henzinger, Rajesh Jayaram, Vahab Mirrokni, Andreas Wiese:
Optimal Fully Dynamic k-Center Clustering for Adaptive and Oblivious Adversaries. CoRR abs/2303.11843 (2023) - MohammadHossein Bateni, Prathamesh Dharangutte, Rajesh Jayaram, Chen Wang:
Metric Clustering and MST with Strong and Weak Distance Oracles. CoRR abs/2310.15863 (2023) - 2022
- MohammadHossein Bateni, Yiwei Chen, Dragos Florin Ciocan, Vahab S. Mirrokni:
Fair Resource Allocation in a Volatile Marketplace. Oper. Res. 70(1): 288-308 (2022) - MohammadHossein Bateni, Morteza Monemizadeh, Kees Voorintholt:
Efficient Distributed Algorithms for Minimum Spanning Tree in Dense Graphs. ICDM (Workshops) 2022: 777-786 - Seyed Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, MohammadHossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab S. Mirrokni:
Tackling Provably Hard Representative Selection via Graph Neural Networks. CoRR abs/2205.10403 (2022) - MohammadHossein Bateni, Lin Chen, Matthew Fahrbach, Gang Fu, Vahab Mirrokni, Taisuke Yasuda:
Sequential Attention for Feature Selection. CoRR abs/2209.14881 (2022) - 2021
- MohammadHossein Bateni, Hossein Esfandiari, Manuela Fischer, Vahab S. Mirrokni:
Extreme k-Center Clustering. AAAI 2021: 3941-3949 - Yuchen Wu, Jakab Tardos, MohammadHossein Bateni, André Linhares, Filipe Miguel Gonçalves de Almeida, Andrea Montanari, Ashkan Norouzi-Fard:
Streaming Belief Propagation for Community Detection. NeurIPS 2021: 26976-26988 - Yuchen Wu, MohammadHossein Bateni, André Linhares, Filipe Miguel Gonçalves de Almeida, Andrea Montanari, Ashkan Norouzi-Fard, Jakab Tardos:
Streaming Belief Propagation for Community Detection. CoRR abs/2106.04805 (2021) - Amir Abboud, MohammadHossein Bateni, Vincent Cohen-Addad, Karthik C. S., Saeed Seddighin:
On Complexity of 1-Center in Various Metrics. CoRR abs/2112.03222 (2021) - MohammadHossein Bateni, Hossein Esfandiari, Rajesh Jayaram, Vahab S. Mirrokni:
Optimal Fully Dynamic k-Centers Clustering. CoRR abs/2112.07050 (2021) - 2019
- Kevin Aydin, MohammadHossein Bateni, Vahab S. Mirrokni:
Distributed Balanced Partitioning via Linear Embedding. Algorithms 12(8): 162 (2019) - Arash Asadpour, MohammadHossein Bateni, Kshipra Bhawalkar, Vahab S. Mirrokni:
Concise Bid Optimization Strategies with Multiple Budget Constraints. Manag. Sci. 65(12): 5785-5812 (2019) - Aaron Archer, Kevin Aydin, MohammadHossein Bateni, Vahab S. Mirrokni, Aaron Schild, Ray Yang, Richard Zhuang:
Cache-aware load balancing of data center applications. Proc. VLDB Endow. 12(6): 709-723 (2019) - Mohammad Hossein Bateni, Mohammad Taghi Hajiaghayi, Silvio Lattanzi:
Introduction to the Special Issue for SPAA'17. ACM Trans. Parallel Comput. 6(3): 10:1 (2019) - Sepehr Assadi, MohammadHossein Bateni, Vahab S. Mirrokni:
Distributed Weighted Matching via Randomized Composable Coresets. ICML 2019: 333-343 - MohammadHossein Bateni, Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab S. Mirrokni, Afshin Rostamizadeh:
Categorical Feature Compression via Submodular Optimization. ICML 2019: 515-523 - Sepehr Assadi, MohammadHossein Bateni, Aaron Bernstein, Vahab S. Mirrokni, Cliff Stein:
Coresets Meet EDCS: Algorithms for Matching and Vertex Cover on Massive Graphs. SODA 2019: 1616-1635 - MohammadHossein Bateni, Alireza Farhadi, MohammadTaghi Hajiaghayi:
Polynomial-time Approximation Scheme for Minimum k-cut in Planar and Minor-free Graphs. SODA 2019: 1055-1068 - MohammadHossein Bateni, Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab S. Mirrokni, Afshin Rostamizadeh:
Categorical Feature Compression via Submodular Optimization. CoRR abs/1904.13389 (2019) - Sepehr Assadi, MohammadHossein Bateni, Vahab S. Mirrokni:
Distributed Weighted Matching via Randomized Composable Coresets. CoRR abs/1906.01993 (2019) - 2018
- Mohammad Hossein Bateni, Mohammad Taghi Hajiaghayi, Vahid Liaghat:
Improved Approximation Algorithms for (Budgeted) Node-weighted Steiner Problems. SIAM J. Comput. 47(4): 1275-1293 (2018)
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