Maziar Sanjabi

According to our database, Maziar Sanjabi authored at least 57 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning.

Jonathan Lebensold, Maziar Sanjabi, Pietro Astolfi, Adriana Romero-Soriano, Kamalika Chaudhuri, Mike Rabbat, Chuan Guo

CoRR, 2024

Differentially Private Representation Learning via Image Captioning.

Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo

CoRR, 2024

Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features.

Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

On Tilted Losses in Machine Learning: Theory and Applications.

Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith

J. Mach. Learn. Res., 2023

Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression.

Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan

CoRR, 2023

Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.

Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz

CoRR, 2023

EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods.

Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi

CoRR, 2023

Augmenting CLIP with Improved Visio-Linguistic Reasoning.

Samyadeep Basu, Maziar Sanjabi, Daniela Massiceti, Shell Xu Hu, Soheil Feizi

CoRR, 2023

ViP: A Differentially Private Foundation Model for Computer Vision.

Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo

CoRR, 2023

Text-To-Concept (and Back) via Cross-Model Alignment.

Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi

Proceedings of the International Conference on Machine Learning, 2023

Identifying Interpretable Subspaces in Image Representations.

Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi

Proceedings of the International Conference on Machine Learning, 2023

Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano.

Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi

Proceedings of the International Conference on Machine Learning, 2023

Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning.

John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael G. Rabbat

Proceedings of the Eleventh International Conference on Learning Representations, 2023

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.

Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning.

Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Text2Concept: Concept Activation Vectors Directly from Text.

Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

FedShuffle: Recipes for Better Use of Local Work in Federated Learning.

Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael G. Rabbat

Trans. Mach. Learn. Res., 2022

FRAME: Evaluating Simulatability Metrics for Free-Text Rationales.

Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren

CoRR, 2022

Where to Begin? Exploring the Impact of Pre-Training and Initialization in Federated Learning.

John Nguyen, Kshitiz Malik, Maziar Sanjabi, Michael G. Rabbat

CoRR, 2022

ER-TEST: Evaluating Explanation Regularization Methods for NLP Models.

Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren

CoRR, 2022

Understanding Failure Modes of Self-Supervised Learning.

Neha Mukund Kalibhat, Kanika Narang, Liang Tan, Hamed Firooz, Maziar Sanjabi, Soheil Feizi

CoRR, 2022

BARACK: Partially Supervised Group Robustness With Guarantees.

Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré

CoRR, 2022

Federated Learning with Partial Model Personalization.

Krishna Pillutla, Kshitiz Malik, Abdelrahman Mohamed, Michael G. Rabbat, Maziar Sanjabi, Lin Xiao

Proceedings of the International Conference on Machine Learning, 2022

UNIREX: A Unified Learning Framework for Language Model Rationale Extraction.

Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz

Proceedings of the International Conference on Machine Learning, 2022

ER-Test: Evaluating Explanation Regularization Methods for Language Models.

Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem.

Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision.

Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz

CoRR, 2021

Modality-specific Distillation.

Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz

CoRR, 2021

Tilted Empirical Risk Minimization.

Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith

Proceedings of the 9th International Conference on Learning Representations, 2021

MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding.

Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Alternating Direction Method of Multipliers for Quantization.

Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.

Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong

IEEE Signal Process. Mag., 2020

Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.

Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong

CoRR, 2020

Federated Optimization in Heterogeneous Networks.

Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith

Proceedings of Machine Learning and Systems 2020, 2020

Fair Resource Allocation in Federated Learning.

Tian Li, Maziar Sanjabi, Ahmad Beirami, Virginia Smith

Proceedings of the 8th International Conference on Learning Representations, 2020

Building Placements In Urban Modeling Using Conditional Generative Latent Optimization.

Jingwen Liang, Han Liu, Yiwei Zhao, Maziar Sanjabi, Mohsen Sardari, Harold Chaput, Navid Aghdaie, Kazi A. Zaman

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Multi-theme generative adversarial terrain amplification.

Yiwei Zhao, Han Liu, Igor Borovikov, Ahmad Beirami, Maziar Sanjabi, Kazi A. Zaman

ACM Trans. Graph., 2019

When Does Non-Orthogonal Tensor Decomposition Have No Spurious Local Minima?

Maziar Sanjabi, Sina Baharlouei, Meisam Razaviyayn, Jason D. Lee

CoRR, 2019

Fair Resource Allocation in Federated Learning.

Tian Li, Maziar Sanjabi, Virginia Smith

CoRR, 2019

Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods.

Maher Nouiehed, Maziar Sanjabi, Tianjian Huang, Jason D. Lee, Meisam Razaviyayn

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Training Generative Networks Using Random Discriminators.

Babak Barazandeh, Meisam Razaviyayn, Maziar Sanjabi

Proceedings of the IEEE Data Science Workshop, 2019

FedDANE: A Federated Newton-Type Method.

Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

On the Convergence of Federated Optimization in Heterogeneous Networks.

Anit Kumar Sahu, Tian Li, Maziar Sanjabi, Manzil Zaheer, Ameet Talwalkar, Virginia Smith

CoRR, 2018

Solving Non-Convex Non-Concave Min-Max Games Under Polyak-Łojasiewicz Condition.

Maziar Sanjabi, Meisam Razaviyayn, Jason D. Lee

CoRR, 2018

Solving Approximate Wasserstein GANs to Stationarity.

Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn, Jason D. Lee

CoRR, 2018

On the Convergence and Robustness of Training GANs with Regularized Optimal Transport.

Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn, Jason D. Lee

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Federated Multi-Task Learning.

Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, Ameet Talwalkar

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

A Stochastic Successive Minimization Method for Nonsmooth Nonconvex Optimization with Applications to Transceiver Design in Wireless Communication Networks.

Meisam Razaviyayn, Maziar Sanjabi, Zhi-Quan Luo

Math. Program., 2016

2015

Accelerated Alternating Direction Method of Multipliers.

Mojtaba Kadkhodaie, Konstantina Christakopoulou, Maziar Sanjabi, Arindam Banerjee

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Optimal Joint Base Station Assignment and Beamforming for Heterogeneous Networks.

Maziar Sanjabi, Meisam Razaviyayn, Zhi-Quan Luo

IEEE Trans. Signal Process., 2014

Cross-Layer Provision of Future Cellular Networks: A WMMSE-based approach.

Hadi Baligh, Mingyi Hong, Wei-Cheng Liao, Zhi-Quan Luo, Meisam Razaviyayn, Maziar Sanjabi, Ruoyu Sun

IEEE Signal Process. Mag., 2014

Cross Layer Provision of Future Cellular Networks.

Hadi Baligh, Mingyi Hong, Wei-Cheng Liao, Zhi-Quan Luo, Meisam Razaviyayn, Maziar Sanjabi, Ruoyu Sun

CoRR, 2014

Joint base station clustering and beamformer design for partial coordinated transmission using statistical channel state information.

Maziar Sanjabi, Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo

Proceedings of the 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014

2013

A stochastic weighted MMSE approach to sum rate maximization for a MIMO interference channel.

Meisam Razaviyayn, Maziar Sanjabi Boroujeni, Zhi-Quan Luo

Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

2012

Linear Transceiver Design for Interference Alignment: Complexity and Computation.

Meisam Razaviyayn, Maziar Sanjabi, Zhi-Quan Luo

IEEE Trans. Inf. Theory, 2012

Robust SINR-Constrained MISO Downlink Beamforming: When is Semidefinite Programming Relaxation Tight?

Enbin Song, Qingjiang Shi, Maziar Sanjabi, Ruoyu Sun, Zhi-Quan Luo

EURASIP J. Wirel. Commun. Netw., 2012

Optimal joint base station assignment and downlink beamforming for heterogeneous networks.

Maziar Sanjabi, Meisam Razaviyayn, Zhi-Quan Luo

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012