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2020 – today
- 2023
[j14]Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden:
FactorJoin: A New Cardinality Estimation Framework for Join Queries. Proc. ACM Manag. Data 1(1): 41:1-41:27 (2023)- [j13]Parimarjan Negi, Ziniu Wu, Andreas Kipf, Nesime Tatbul, Ryan Marcus, Sam Madden, Tim Kraska, Mohammad Alizadeh:
Robust Query Driven Cardinality Estimation under Changing Workloads. Proc. VLDB Endow. 16(6): 1520-1533 (2023) - [c92]Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson:
Scalable Tail Latency Estimation for Data Center Networks. NSDI 2023: 685-702 - [c91]Inho Cho, Ahmed Saeed, Seo Jin Park, Mohammad Alizadeh, Adam Belay:
Protego: Overload Control for Applications with Unpredictable Lock Contention. NSDI 2023: 725-738 - [c90]Mehrdad Khani, Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang, Ravi Netravali, Yuanchao Shu, Mohammad Alizadeh, Victor Bahl:
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics. NSDI 2023: 917-932 - [c89]Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah:
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation. NSDI 2023: 1115-1147 - [i53]Pouya Hamadanian, Arash Nasr-Esfahany, Siddartha Sen, Malte Schwarzkopf, Mohammad Alizadeh:
Locally Constrained Policy Optimization for Online Reinforcement Learning in Non-Stationary Input-Driven Environments. CoRR abs/2302.02182 (2023) - [i52]Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah:
Counterfactual Identifiability of Bijective Causal Models. CoRR abs/2302.02228 (2023) - [i51]Tianhong Li, Vibhaalakshmi Sivaraman, Lijie Fan, Mohammad Alizadeh, Dina Katabi:
Reparo: Loss-Resilient Generative Codec for Video Conferencing. CoRR abs/2305.14135 (2023) - 2022
- [j12]Vibhaalakshmi Sivaraman, Weizhao Tang, Shaileshh Bojja Venkatakrishnan, Giulia Fanti, Mohammad Alizadeh:
The Effect of Network Topology on Credit Network Throughput. SIGMETRICS Perform. Evaluation Rev. 49(3): 59-60 (2022) - [j11]Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska:
Bao: Making Learned Query Optimization Practical. SIGMOD Rec. 51(1): 6-13 (2022) - [c88]Ioannis Kaklamanis, Lei Yang, Mohammad Alizadeh:
Poster: Coded Broadcast for Scalable Leader-Based BFT Consensus. CCS 2022: 3375-3377 - [c87]William Sussman, Emily Marx, Venkat Arun, Akshay Narayan, Mohammad Alizadeh, Hari Balakrishnan, Aurojit Panda, Scott Shenker:
The case for an internet primitive for fault localization. HotNets 2022: 160-166 - [c86]Seo Jin Park, Joshua Fried, Sunghyun Kim, Mohammad Alizadeh, Adam Belay:
Efficient Strong Scaling Through Burst Parallel Training. MLSys 2022 - [c85]Lei Yang, Seo Jin Park, Mohammad Alizadeh, Sreeram Kannan, David Tse:
DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks. NSDI 2022: 493-512 - [c84]Prateesh Goyal, Preey Shah, Kevin Zhao, Georgios Nikolaidis, Mohammad Alizadeh, Thomas E. Anderson:
Backpressure Flow Control. NSDI 2022: 779-805 - [c83]Prateesh Goyal, Akshay Narayan, Frank Cangialosi, Srinivas Narayana, Mohammad Alizadeh, Hari Balakrishnan:
Elasticity detection: a building block for internet congestion control. SIGCOMM 2022: 158-176 - [c82]Venkat Arun, Mohammad Alizadeh, Hari Balakrishnan:
Starvation in end-to-end congestion control. SIGCOMM 2022: 177-192 - [i50]Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah:
CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols. CoRR abs/2201.01811 (2022) - [i49]Pouya Hamadanian, Malte Schwarzkopf, Siddartha Sen, Mohammad Alizadeh:
Reinforcement Learning in Time-Varying Systems: an Empirical Study. CoRR abs/2201.05560 (2022) - [i48]Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson:
Optimal Congestion Control for Time-varying Wireless Links. CoRR abs/2202.04321 (2022) - [i47]Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson:
Scalable Tail Latency Estimation for Data Center Networks. CoRR abs/2205.01234 (2022) - [i46]Lei Yang, Yossi Gilad, Mohammad Alizadeh:
Coded Transaction Broadcasting for High-throughput Blockchains. CoRR abs/2205.01797 (2022) - [i45]Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani Shirkoohi, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze:
Gemino: Practical and Robust Neural Compression for Video Conferencing. CoRR abs/2209.10507 (2022) - [i44]Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden:
FactorJoin: A New Cardinality Estimation Framework for Join Queries. CoRR abs/2212.05526 (2022) - 2021
- [j10]Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Inferring and improving street maps with data-driven automation. Commun. ACM 64(11): 109-117 (2021) - [j9]Vibhaalakshmi Sivaraman
, Weizhao Tang, Shaileshh Bojja Venkatakrishnan, Giulia Fanti, Mohammad Alizadeh:
The effect of network topology on credit network throughput. Perform. Evaluation 151: 102235 (2021) - [j8]Parimarjan Negi, Ryan C. Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh:
Flow-Loss: Learning Cardinality Estimates That Matter. Proc. VLDB Endow. 14(11): 2019-2032 (2021) - [c81]Frank Cangialosi, Akshay Narayan, Prateesh Goyal, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan:
Site-to-site internet traffic control. EuroSys 2021: 574-589 - [c80]Favyen Bastani, Songtao He, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Updating Street Maps using Changes Detected in Satellite Imagery. SIGSPATIAL/GIS 2021: 53-56 - [c79]Mehrdad Khani Shirkoohi, Vibhaalakshmi Sivaraman, Mohammad Alizadeh:
Efficient Video Compression via Content-Adaptive Super-Resolution. ICCV 2021: 4501-4510 - [c78]Mehrdad Khani Shirkoohi, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh:
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. ICCV 2021: 4552-4562 - [c77]Songtao He, Mohammad Amin Sadeghi, Sanjay Chawla, Mohammad Alizadeh, Hari Balakrishnan, Samuel Madden:
Inferring high-resolution traffic accident risk maps based on satellite imagery and GPS trajectories. ICCV 2021: 11957-11965 - [c76]Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan:
Toward a Marketplace for Aerial Computing. DroNet@MobiSys 2021: 1-6 - [c75]Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Venkat Arun, Ahmed Saeed, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan:
Throughput-fairness tradeoffs in mobility platforms. MobiSys 2021: 363-375 - [c74]Shiyu Liu, Ahmad Ghalayini, Mohammad Alizadeh, Balaji Prabhakar, Mendel Rosenblum, Anirudh Sivaraman:
Breaking the Transience-Equilibrium Nexus: A New Approach to Datacenter Packet Transport. NSDI 2021: 47-63 - [c73]Venkat Arun, Mina Tahmasbi Arashloo, Ahmed Saeed, Mohammad Alizadeh, Hari Balakrishnan:
Toward formally verifying congestion control behavior. SIGCOMM 2021: 1-16 - [c72]Mehrdad Khani Shirkoohi, Manya Ghobadi, Mohammad Alizadeh, Ziyi Zhu, Madeleine Glick, Keren Bergman, Amin Vahdat, Benjamin Klenk, Eiman Ebrahimi:
SiP-ML: high-bandwidth optical network interconnects for machine learning training. SIGCOMM 2021: 657-675 - [c71]Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska:
Bao: Making Learned Query Optimization Practical. SIGMOD Conference 2021: 1275-1288 - [c70]Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc T. Friedman, Alekh Jindal:
Steering Query Optimizers: A Practical Take on Big Data Workloads. SIGMOD Conference 2021: 2557-2569 - [i43]Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh:
Flow-Loss: Learning Cardinality Estimates That Matter. CoRR abs/2101.04964 (2021) - [i42]Kevin Zhao, Prateesh Goyal, Mohammad Alizadeh, Thomas E. Anderson:
SWP: Microsecond Network SLOs Without Priorities. CoRR abs/2103.01314 (2021) - [i41]Vibhaalakshmi Sivaraman, Weizhao Tang, Shaileshh Bojja Venkatakrishnan, Giulia Fanti, Mohammad Alizadeh:
The Effect of Network Topology on Credit Network Throughput. CoRR abs/2103.03288 (2021) - [i40]Songtao He, Favyen Bastani, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden:
TagMe: GPS-Assisted Automatic Object Annotation in Videos. CoRR abs/2103.13428 (2021) - [i39]Mehrdad Khani Shirkoohi, Vibhaalakshmi Sivaraman, Mohammad Alizadeh:
Efficient Video Compression via Content-Adaptive Super-Resolution. CoRR abs/2104.02322 (2021) - [i38]Arjun Balasingam, Karthik Gopalakrishnan, Radhika Mittal, Venkat Arun, Ahmed Saeed, Mohammad Alizadeh, Hamsa Balakrishnan, Hari Balakrishnan:
Throughput-Fairness Tradeoffs in Mobility Platforms. CoRR abs/2105.11999 (2021) - [i37]Lei Yang, Seo Jin Park, Mohammad Alizadeh, Sreeram Kannan, David Tse:
DispersedLedger: High-Throughput Byzantine Consensus on Variable Bandwidth Networks. CoRR abs/2110.04371 (2021) - [i36]Favyen Bastani, Songtao He, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Updating Street Maps using Changes Detected in Satellite Imagery. CoRR abs/2110.06456 (2021) - [i35]Joachim Neu, Srivatsan Sridhar, Lei Yang, David Tse, Mohammad Alizadeh:
Securing Proof-of-Stake Nakamoto Consensus Under Bandwidth Constraint. CoRR abs/2111.12332 (2021) - [i34]Seo Jin Park, Joshua Fried, Sunghyun Kim, Mohammad Alizadeh, Adam Belay:
Efficient Strong Scaling Through Burst Parallel Training. CoRR abs/2112.10065 (2021) - [i33]Joachim Neu, Srivatsan Sridhar, Lei Yang, David Tse, Mohammad Alizadeh:
Securing Proof-of-Stake Nakamoto Consensus Under Bandwidth Constraint. IACR Cryptol. ePrint Arch. 2021: 1545 (2021) - 2020
- [j7]Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska:
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. Proc. VLDB Endow. 14(2): 74-86 (2020) - [j6]Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming:
Adaptive Neural Signal Detection for Massive MIMO. IEEE Trans. Wirel. Commun. 19(8): 5635-5648 (2020) - [c69]Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi:
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks. AAAI 2020: 10965-10972 - [c68]Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi:
Sat2Graph: Road Graph Extraction Through Graph-Tensor Encoding. ECCV (24) 2020: 51-67 - [c67]Akshay Narayan, Aurojit Panda, Mohammad Alizadeh, Hari Balakrishnan, Arvind Krishnamurthy, Scott Shenker:
Bertha: Tunneling through the Network API. HotNets 2020: 53-59 - [c66]Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming:
Exploiting Channel Locality for Adaptive Massive MIMO Signal Detection. ICASSP 2020: 8565-8568 - [c65]Parimarjan Negi, Ryan Marcus, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh:
Cost-Guided Cardinality Estimation: Focus Where it Matters. ICDE Workshops 2020: 154-157 - [c64]Songtao He, Favyen Bastani, Arjun Balasingam, Karthik Gopalakrishnan, Ziwen Jiang, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden:
BeeCluster: drone orchestration via predictive optimization. MobiSys 2020: 299-311 - [c63]Prateesh Goyal, Anup Agarwal, Ravi Netravali, Mohammad Alizadeh, Hari Balakrishnan:
ABC: A Simple Explicit Congestion Controller for Wireless Networks. NSDI 2020: 353-372 - [c62]Vibhaalakshmi Sivaraman, Shaileshh Bojja Venkatakrishnan, Kathleen Ruan, Parimarjan Negi, Lei Yang, Radhika Mittal, Giulia Fanti, Mohammad Alizadeh:
High Throughput Cryptocurrency Routing in Payment Channel Networks. NSDI 2020: 777-796 - [c61]Inho Cho, Ahmed Saeed, Joshua Fried, Seo Jin Park, Mohammad Alizadeh, Adam Belay:
Overload Control for µs-scale RPCs with Breakwater. OSDI 2020: 299-314 - [c60]Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska:
Learned garbage collection. MAPL@PLDI 2020: 38-44 - [c59]Ahmed Saeed, Varun Gupta, Prateesh Goyal, Milad Sharif, Rong Pan, Mostafa H. Ammar, Ellen W. Zegura, Keon Jang, Mohammad Alizadeh, Abdul Kabbani, Amin Vahdat:
Annulus: A Dual Congestion Control Loop for Datacenter and WAN Traffic Aggregates. SIGCOMM 2020: 735-749 - [c58]Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska:
Learning Multi-Dimensional Indexes. SIGMOD Conference 2020: 985-1000 - [c57]Favyen Bastani, Songtao He, Arjun Balasingam, Karthik Gopalakrishnan, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden:
MIRIS: Fast Object Track Queries in Video. SIGMOD Conference 2020: 1907-1921 - [i32]Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska:
Bao: Learning to Steer Query Optimizers. CoRR abs/2004.03814 (2020) - [i31]Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska:
Learned Garbage Collection. CoRR abs/2004.13301 (2020) - [i30]Mehrdad Khani Shirkoohi, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh:
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. CoRR abs/2006.06628 (2020) - [i29]Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska:
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. CoRR abs/2006.13282 (2020) - [i28]Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi:
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding. CoRR abs/2007.09547 (2020) - [i27]Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, Eytan Bakshy:
Real-world Video Adaptation with Reinforcement Learning. CoRR abs/2008.12858 (2020) - [i26]Frank Cangialosi, Akshay Narayan, Prateesh Goyal, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan:
Site-to-Site Internet Traffic Control. CoRR abs/2011.01258 (2020) - [i25]Vikram Nathan, Jialin Ding, Tim Kraska, Mohammad Alizadeh:
Cortex: Harnessing Correlations to Boost Query Performance. CoRR abs/2012.06683 (2020)
2010 – 2019
- 2019
- [j5]Aisha Mushtaq, Radhika Mittal, James Murphy McCauley, Mohammad Alizadeh, Sylvia Ratnasamy, Scott Shenker:
Datacenter congestion control: identifying what is essential and making it practical. Comput. Commun. Rev. 49(3): 32-38 (2019) - [j4]Lavanya Jose, Stephen Ibanez, Mohammad Alizadeh, Nick McKeown:
A Distributed Algorithm to Calculate Max-Min Fair Rates Without Per-Flow State. Proc. ACM Meas. Anal. Comput. Syst. 3(2): 21:1-21:42 (2019) - [j3]Ryan C. Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul:
Neo: A Learned Query Optimizer. Proc. VLDB Endow. 12(11): 1705-1718 (2019) - [c56]Prateesh Goyal, Preey Shah, Naveen Kr. Sharma, Mohammad Alizadeh, Thomas E. Anderson:
Backpressure Flow Control. BS 2019: 4:1-4:3 - [c55]Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan:
SageDB: A Learned Database System. CIDR 2019 - [c54]Prateesh Goyal, Ravi Netravali, Mohammad Alizadeh, Hari Balakrishnan:
Secure Incentivization for Decentralized Content Delivery. HotEdge 2019 - [c53]Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf, Mohammad Alizadeh:
Variance Reduction for Reinforcement Learning in Input-Driven Environments. ICLR (Poster) 2019 - [c52]Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh:
Park: An Open Platform for Learning-Augmented Computer Systems. NeurIPS 2019: 2490-2502 - [c51]Ravichandra Addanki, Shaileshh Bojja Venkatakrishnan, Shreyan Gupta, Hongzi Mao, Mohammad Alizadeh:
Learning Generalizable Device Placement Algorithms for Distributed Machine Learning. NeurIPS 2019: 3983-3993 - [c50]Assaf Eisenman, Asaf Cidon, Evgenya Pergament, Or Haimovich, Ryan Stutsman, Mohammad Alizadeh, Sachin Katti:
Flashield: a Hybrid Key-value Cache that Controls Flash Write Amplification. NSDI 2019: 65-78 - [c49]Yuliang Li, Rui Miao, Mohammad Alizadeh, Minlan Yu:
DETER: Deterministic TCP Replay for Performance Diagnosis. NSDI 2019: 437-452 - [c48]Yuliang Li, Rui Miao, Hongqiang Harry Liu, Yan Zhuang, Fei Feng, Lingbo Tang, Zheng Cao, Ming Zhang, Frank Kelly, Mohammad Alizadeh, Minlan Yu:
HPCC: high precision congestion control. SIGCOMM 2019: 44-58 - [c47]Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan, Zili Meng, Mohammad Alizadeh:
Learning scheduling algorithms for data processing clusters. SIGCOMM 2019: 270-288 - [c46]Vikram Nathan, Vibhaalakshmi Sivaraman, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Prateesh Goyal, Mohammad Alizadeh:
End-to-end transport for video QoE fairness. SIGCOMM 2019: 408-423 - [c45]Lavanya Jose, Stephen Ibanez, Mohammad Alizadeh, Nick McKeown:
A Distributed Algorithm to Calculate Max-Min Fair Rates Without Per-Flow State. SIGMETRICS (Abstracts) 2019: 57-58 - [i24]Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul:
Neo: A Learned Query Optimizer. CoRR abs/1904.03711 (2019) - [i23]Prateesh Goyal, Anup Agarwal, Ravi Netravali, Mohammad Alizadeh, Hari Balakrishnan:
ABC: A Simple Explicit Congestion Control Protocol for Wireless Networks. CoRR abs/1905.03429 (2019) - [i22]Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming:
Adaptive Neural Signal Detection for Massive MIMO. CoRR abs/1906.04610 (2019) - [i21]Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden:
Machine-Assisted Map Editing. CoRR abs/1906.07138 (2019) - [i20]Ravichandra Addanki, Shaileshh Bojja Venkatakrishnan, Shreyan Gupta, Hongzi Mao, Mohammad Alizadeh:
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning. CoRR abs/1906.08879 (2019) - [i19]Prateesh Goyal, Preey Shah, Naveen Kr. Sharma, Mohammad Alizadeh, Thomas E. Anderson:
Backpressure Flow Control. CoRR abs/1909.09923 (2019) - [i18]Lei Yang, Vivek Kumar Bagaria, Gerui Wang, Mohammad Alizadeh, David Tse, Giulia Fanti, Pramod Viswanath:
Prism: Scaling Bitcoin by 10, 000x. CoRR abs/1909.11261 (2019) - [i17]Favyen Bastani, Songtao He, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, Mohammad Amin Sadeghi:
Inferring and Improving Street Maps with Data-Driven Automation. CoRR abs/1910.04869 (2019) - [i16]Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska:
Learning Multi-dimensional Indexes. CoRR abs/1912.01668 (2019) - [i15]Songtao He, Favyen Bastani, Satvat Jagwani, Edward Park, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Samuel Madden, Mohammad Amin Sadeghi:
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks. CoRR abs/1912.12408 (2019) - 2018
- [j2]Shaileshh Bojja Venkatakrishnan, Mohammad Alizadeh, Pramod Viswanath:
Costly circuits, submodular schedules and approximate Carathéodory Theorems. Queueing Syst. Theory Appl. 88(3-4): 311-347 (2018) - [c44]Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Prateesh Goyal, Srinivas Narayana, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan:
Restructuring Endpoint Congestion Control. ANRW 2018: 25 - [c43]Prateesh Goyal, Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Srinivas Narayana, Mohammad Alizadeh, Hari Balakrishnan:
Elasticity Detection: A Building Block for Delay-Sensitive Congestion Control. ANRW 2018: 75 - [c42]Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, David J. DeWitt:
RoadTracer: Automatic Extraction of Road Networks From Aerial Images. CVPR 2018: 4720-4728 - [c41]Songtao He, Favyen Bastani, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden:
RoadRunner: improving the precision of road network inference from GPS trajectories. SIGSPATIAL/GIS 2018: 3-12 - [c40]Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden:
Machine-assisted map editing. SIGSPATIAL/GIS 2018: 23-32 - [c39]Vibhaalakshmi Sivaraman, Shaileshh Bojja Venkatakrishnan, Mohammad Alizadeh, Giulia Fanti, Pramod Viswanath:
Routing Cryptocurrency with the Spider Network. HotNets 2018: 29-35 - [c38]Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Prateesh Goyal, Srinivas Narayana, Radhika Mittal, Mohammad Alizadeh, Hari Balakrishnan:
Restructuring endpoint congestion control. SIGCOMM 2018: 30-43 - [c37]Behnam Montazeri, Yilong Li, Mohammad Alizadeh, John K. Ousterhout:
Homa: a receiver-driven low-latency transport protocol using network priorities. SIGCOMM 2018: 221-235 - [i14]Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, David J. DeWitt, Sam Madden:
Unthule: An Incremental Graph Construction Process for Robust Road Map Extraction from Aerial Images. CoRR abs/1802.03680 (2018) - [i13]Shaileshh Bojja Venkatakrishnan, Mohammad Alizadeh, Pramod Viswanath:
Graph2Seq: Scalable Learning Dynamics for Graphs. CoRR abs/1802.04948 (2018) - [i12]Prateesh Goyal, Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Srinivas Narayana, Mohammad Alizadeh, Hari Balakrishnan:
Elasticity Detection: A Building Block for Delay-Sensitive Congestion Control. CoRR abs/1802.08730 (2018) - [i11]Behnam Montazeri, Yilong Li, Mohammad Alizadeh, John K. Ousterhout:
Homa: A Receiver-Driven Low-Latency Transport Protocol Using Network Priorities. CoRR abs/1803.09615 (2018) - [i10]Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf, Mohammad Alizadeh:
Variance Reduction for Reinforcement Learning in Input-Driven Environments. CoRR abs/1807.02264 (2018) - [i9]Prateesh Goyal, Ravi Netravali, Mohammad Alizadeh, Hari Balakrishnan:
Secure Incentivization for Decentralized Content Delivery. CoRR abs/1808.00826 (2018) - [i8]Vibhaalakshmi Sivaraman, Shaileshh Bojja Venkatakrishnan, Mohammad Alizadeh, Giulia Fanti, Pramod Viswanath:
Routing Cryptocurrency with the Spider Network. CoRR abs/1809.05088 (2018) - [i7]Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan, Zili Meng, Mohammad Alizadeh:
Learning Scheduling Algorithms for Data Processing Clusters. CoRR abs/1810.01963 (2018) - 2017
- [j1]Kianoush Fathi, Seyyed Fazel Bagheri, Mojtaba Alizadeh, Mohammad Alizadeh:
A study of methods for estimating in the exponentiated Gumbel distribution. J. Stat. Theory Appl. 16(1): 81-95 (2017) - [c36]Mohammad Alizadeh:
Fast and Smart Network Resource Management for Datacenters and Beyond. CoNEXT 2017: 1 - [c35]Prateesh Goyal, Mohammad Alizadeh, Hari Balakrishnan:
Rethinking Congestion Control for Cellular Networks. HotNets 2017: 29-35 - [c34]Akshay Narayan, Frank Cangialosi, Prateesh Goyal, Srinivas Narayana, Mohammad Alizadeh, Hari Balakrishnan:
The Case for Moving Congestion Control Out of the Datapath. HotNets 2017: 101-107 - [c33]Erico Vanini, Rong Pan, Mohammad Alizadeh, Parvin Taheri, Tom Edsall:
Let It Flow: Resilient Asymmetric Load Balancing with Flowlet Switching. NSDI 2017: 407-420 - [c32]