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ORCIDMina Dalirrooyfard
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2020 – today
- 2024
[j4]Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen:
Learning to Abstain From Uninformative Data. Trans. Mach. Learn. Res. 2024 (2024)- [c20]Mina Dalirrooyfard, Elaheh Fata, Majid Behbahani, Yuriy Nevmyvaka:
Graph Partitioning with a Move Budget. AISTATS 2024: 568-576 - [c19]Mina Dalirrooyfard, Konstantin Makarychev, Slobodan Mitrovic:
Pruned Pivot: Correlation Clustering Algorithm for Dynamic, Parallel, and Local Computation Models. ICML 2024 - [c18]Mina Dalirrooyfard
, Surya Mathialagan, Virginia Vassilevska Williams, Yinzhan Xu:
Towards Optimal Output-Sensitive Clique Listing or: Listing Cliques from Smaller Cliques. STOC 2024: 923-934 - [i21]Majid Behbahani, Mina Dalirrooyfard, Elaheh Fata, Yuriy Nevmyvaka:
Graph Partitioning With Limited Moves. CoRR abs/2402.15485 (2024) - [i20]Mina Dalirrooyfard, Konstantin Makarychev, Slobodan Mitrovic:
Pruned Pivot: Correlation Clustering Algorithm for Dynamic, Parallel, and Local Computation Models. CoRR abs/2402.15668 (2024) - [i19]Anders Aamand, Justin Y. Chen, Mina Dalirrooyfard, Slobodan Mitrovic, Yuriy Nevmyvaka, Sandeep Silwal, Yinzhan Xu:
Differentially Private Gomory-Hu Trees. CoRR abs/2408.01798 (2024) - 2023
- [c17]Amir Abboud, Mina Dalirrooyfard, Ray Li, Virginia Vassilevska Williams:
On Diameter Approximation in Directed Graphs. ESA 2023: 2:1-2:17 - [c16]Julia Chuzhoy, Mina Dalirrooyfard, Vadim Grinberg, Zihan Tan:
A New Conjecture on Hardness of 2-CSP's with Implications to Hardness of Densest k-Subgraph and Other Problems. ITCS 2023: 38:1-38:23 - [c15]Mina Dalirrooyfard, Slobodan Mitrovic, Yuriy Nevmyvaka:
Nearly Tight Bounds For Differentially Private Multiway Cut. NeurIPS 2023 - [c14]Sahil Garg, Mina Dalirrooyfard, Anderson Schneider, Yeshaya Adler, Yuriy Nevmyvaka, Yu Chen, Fengpei Li, Guillermo A. Cecchi:
Information theoretic clustering via divergence maximization among clusters. UAI 2023: 624-634 - [c13]Sahil Garg, Sanghamitra Dutta, Mina Dalirrooyfard, Anderson Schneider, Yuriy Nevmyvaka:
In- or out-of-distribution detection via dual divergence estimation. UAI 2023: 635-646 - [i18]Amir Abboud, Mina Dalirrooyfard, Ray Li, Virginia Vassilevska Williams:
On Diameter Approximation in Directed Graphs. CoRR abs/2307.07583 (2023) - [i17]Mina Dalirrooyfard, Surya Mathialagan, Virginia Vassilevska Williams, Yinzhan Xu:
Listing Cliques from Smaller Cliques. CoRR abs/2307.15871 (2023) - [i16]Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen:
Learning to Abstain From Uninformative Data. CoRR abs/2309.14240 (2023) - [i15]Mina Dalirrooyfard, Slobodan Mitrovic, Yuriy Nevmyvaka:
Nearly Tight Bounds For Differentially Private Min s-t and Multiway Cut. CoRR abs/2312.16370 (2023) - 2022
- [b1]Mina Dalirrooyfard:
Finding Patterns, Short Cycles and Long Shortest Paths in Graphs. MIT, USA, 2022 - [c12]Mina Dalirrooyfard, Ce Jin, Virginia Vassilevska Williams, Nicole Wein:
Approximation Algorithms and Hardness for n-Pairs Shortest Paths and All-Nodes Shortest Cycles. FOCS 2022: 290-300 - [c11]Mina Dalirrooyfard, Virginia Vassilevska Williams:
Induced Cycles and Paths Are Harder Than You Think. FOCS 2022: 531-542 - [i14]Mina Dalirrooyfard, Ce Jin, Virginia Vassilevska Williams, Nicole Wein:
Approximation Algorithms and Hardness for n-Pairs Shortest Paths and All-Nodes Shortest Cycles. CoRR abs/2204.03076 (2022) - [i13]Mina Dalirrooyfard, Virginia Vassilevska Williams:
Induced Cycles and Paths Are Harder Than You Think. CoRR abs/2209.01873 (2022) - [i12]Julia Chuzhoy, Mina Dalirrooyfard, Vadim Grinberg, Zihan Tan:
A New Conjecture on Hardness of Low-Degree 2-CSP's with Implications to Hardness of Densest k-Subgraph and Other Problems. CoRR abs/2211.05906 (2022) - 2021
- [j3]Mina Dalirrooyfard, Thuy-Duong Vuong, Virginia Vassilevska Williams:
Graph Pattern Detection: Hardness for all Induced Patterns and Faster Noninduced Cycles. SIAM J. Comput. 50(5): 1627-1662 (2021) - [c10]Mina Dalirrooyfard, Ray Li, Virginia Vassilevska Williams:
Hardness of Approximate Diameter: Now for Undirected Graphs. FOCS 2021: 1021-1032 - [c9]Mina Dalirrooyfard, Jenny Kaufmann:
Approximation Algorithms for Min-Distance Problems in DAGs. ICALP 2021: 60:1-60:17 - [c8]Mina Dalirrooyfard, Nicole Wein:
Tight conditional lower bounds for approximating diameter in directed graphs. STOC 2021: 1697-1710 - [i11]Mina Dalirrooyfard, Jenny Kaufmann:
Approximation Algorithms for Min-Distance Problems in DAGs. CoRR abs/2106.02120 (2021) - [i10]Mina Dalirrooyfard, Ray Li, Virginia Vassilevska Williams:
Hardness of Approximate Diameter: Now for Undirected Graphs. CoRR abs/2106.06026 (2021) - 2020
- [j2]Saieed Akbari, Mina Dalirrooyfard, K. Ehsani, Kenta Ozeki, R. Sherkati:
Orientations of graphs avoiding given lists on out-degrees. J. Graph Theory 93(4): 483-502 (2020) - [c7]Mina Dalirrooyfard, Andrea Lincoln, Virginia Vassilevska Williams:
New Techniques for Proving Fine-Grained Average-Case Hardness. FOCS 2020: 774-785 - [c6]Mina Dalirrooyfard, Virginia Vassilevska Williams:
Conditionally Optimal Approximation Algorithms for the Girth of a Directed Graph. ICALP 2020: 35:1-35:20 - [c5]Bertie Ancona, Keren Censor-Hillel, Mina Dalirrooyfard, Yuval Efron, Virginia Vassilevska Williams:
Distributed Distance Approximation. OPODIS 2020: 30:1-30:17 - [i9]Mina Dalirrooyfard, Virginia Vassilevska Williams:
Conditionally optimal approximation algorithms for the girth of a directed graph. CoRR abs/2004.11445 (2020) - [i8]Mina Dalirrooyfard, Andrea Lincoln, Virginia Vassilevska Williams:
New Techniques for Proving Fine-Grained Average-Case Hardness. CoRR abs/2008.06591 (2020) - [i7]Mina Dalirrooyfard, Nicole Wein:
Tight Conditional Lower Bounds for Approximating Diameter in Directed Graphs. CoRR abs/2011.03892 (2020) - [i6]Bertie Ancona, Keren Censor-Hillel, Mina Dalirrooyfard, Yuval Efron, Virginia Vassilevska Williams:
Distributed Distance Approximation. CoRR abs/2011.05066 (2020)
2010 – 2019
- 2019
- [c4]Mina Dalirrooyfard, Virginia Vassilevska Williams, Nikhil Vyas, Nicole Wein, Yinzhan Xu, Yuancheng Yu:
Approximation Algorithms for Min-Distance Problems. ICALP 2019: 46:1-46:14 - [c3]Mina Dalirrooyfard, Virginia Vassilevska Williams, Nikhil Vyas, Nicole Wein:
Tight Approximation Algorithms for Bichromatic Graph Diameter and Related Problems. ICALP 2019: 47:1-47:15 - [c2]Mina Dalirrooyfard, Thuy-Duong Vuong, Virginia Vassilevska Williams:
Graph pattern detection: hardness for all induced patterns and faster non-induced cycles. STOC 2019: 1167-1178 - [i5]Mina Dalirrooyfard, Thuy-Duong Vuong, Virginia Vassilevska Williams:
Graph pattern detection: Hardness for all induced patterns and faster non-induced cycles. CoRR abs/1904.03741 (2019) - [i4]Mina Dalirrooyfard, Virginia Vassilevska Williams, Nikhil Vyas, Nicole Wein:
Tight Approximation Algorithms for Bichromatic Graph Diameter and Related Problems. CoRR abs/1904.11601 (2019) - [i3]Mina Dalirrooyfard, Virginia Vassilevska Williams, Nikhil Vyas, Nicole Wein, Yinzhan Xu, Yuancheng Yu:
Approximation Algorithms for Min-Distance Problems. CoRR abs/1904.11606 (2019) - 2017
- [c1]L. Elisa Celis, Mina Dalirrooyfard, Nisheeth K. Vishnoi:
A Dynamics for Advertising on Networks. WINE 2017: 88-102 - 2016
- [j1]Saieed Akbari, Mina Dalirrooyfard, K. Ehsani, R. Sherkati:
A note on signed k-submatching in graphs. Australas. J Comb. 64: 341-346 (2016) - 2014
- [i2]Saieed Akbari, Mina Dalirrooyfard, S. Davodpoor, K. Ehsani, R. Sherkati:
On the Decision Number of Graphs. CoRR abs/1402.0134 (2014) - [i1]Saieed Akbari, Mina Dalirrooyfard, K. Ehsani, R. Sherkati:
A Note on Signed k-Submatching in Graphs. CoRR abs/1411.0132 (2014)
Coauthor Index
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