Maziar Sanjabi

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 66

Top Topics

Heterogeneous Networks

Regularization Methods

Diffusion Models

Top Venues

EMNLP (Findings)

Publications

Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features. AAAI (2024)
Jonathan Lebensold, Maziar Sanjabi, Pietro Astolfi, Adriana Romero-Soriano, Kamalika Chaudhuri, Mike Rabbat, Chuan Guo
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning. CoRR (2024)
Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo
Differentially Private Representation Learning via Image Captioning. CoRR (2024)
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. NAACL-HLT (2024)
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
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. CoRR (2023)
Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
On Tilted Losses in Machine Learning: Theory and Applications. J. Mach. Learn. Res. 24 (2023)
Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo
ViP: A Differentially Private Foundation Model for Computer Vision. CoRR (2023)
Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. EMNLP (2023)
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. CoRR (2023)
Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi
EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods. CoRR (2023)
Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
Text-To-Concept (and Back) via Cross-Model Alignment. ICML (2023)
Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
Identifying Interpretable Subspaces in Image Representations. CoRR (2023)
Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
Identifying Interpretable Subspaces in Image Representations. ICML (2023)
Samyadeep Basu, Maziar Sanjabi, Daniela Massiceti, Shell Xu Hu, Soheil Feizi
Augmenting CLIP with Improved Visio-Linguistic Reasoning. CoRR (2023)
Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CVPR (2023)
John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael G. Rabbat
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning. ICLR (2023)
Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CoRR (2023)
Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. ICML (2023)
Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
Text2Concept: Concept Activation Vectors Directly from Text. CVPR Workshops (2023)
Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
Text-To-Concept (and Back) via Cross-Model Alignment. CoRR (2023)
Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren
ER-TEST: Evaluating Explanation Regularization Methods for NLP Models. CoRR (2022)
Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. CoRR (2022)
Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction. ICML (2022)
Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. ACL (Findings) (2022)
Krishna Pillutla, Kshitiz Malik, Abdelrahman Mohamed, Michael Rabbat, Maziar Sanjabi, Lin Xiao
Federated Learning with Partial Model Personalization. CoRR (2022)
Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael G. Rabbat
FedShuffle: Recipes for Better Use of Local Work in Federated Learning. Trans. Mach. Learn. Res. 2022 (2022)
John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning. CoRR (2022)
Neha Mukund Kalibhat, Kanika Narang, Liang Tan, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
Understanding Failure Modes of Self-Supervised Learning. CoRR (2022)
Nan Wang, Shaoliang Nie, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. CoRR (2022)
John Nguyen, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat
Where to Begin? Exploring the Impact of Pre-Training and Initialization in Federated Learning. CoRR (2022)
Krishna Pillutla, Kshitiz Malik, Abdelrahman Mohamed, Michael Rabbat, Maziar Sanjabi, Lin Xiao
Federated Learning with Partial Model Personalization. ICML (2022)
Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael Rabbat
FedShuffle: Recipes for Better Use of Local Work in Federated Learning. CoRR (2022)
Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré
BARACK: Partially Supervised Group Robustness With Guarantees. CoRR (2022)
Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales. CoRR (2022)
Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. CoRR (2022)
Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren
ER-Test: Evaluating Explanation Regularization Methods for Language Models. EMNLP (Findings) (2022)
Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz
Modality-specific Distillation. CoRR (2021)
Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
Tilted Empirical Risk Minimization. ICLR (2021)
Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn
Alternating Direction Method of Multipliers for Quantization. AISTATS (2021)
Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding. EMNLP (Findings) (2021)
Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz
UniREx: A Unified Learning Framework for Language Model Rationale Extraction. CoRR (2021)
Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. CoRR (2021)
Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
On Tilted Losses in Machine Learning: Theory and Applications. CoRR (2021)
Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn
Alternating Direction Method of Multipliers for Quantization. CoRR (2020)
Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
Tilted Empirical Risk Minimization. CoRR (2020)
Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances. IEEE Signal Process. Mag. 37 (5) (2020)
Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances. CoRR (2020)
Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith
FedDANE: A Federated Newton-Type Method. CoRR (2020)
Tian Li, Maziar Sanjabi, Ahmad Beirami, Virginia Smith
Fair Resource Allocation in Federated Learning. ICLR (2020)
Jingwen Liang, Han Liu, Yiwei Zhao, Maziar Sanjabi, Mohsen Sardari, Harold Chaput, Navid Aghdaie, Kazi A. Zaman
Building Placements In Urban Modeling Using Conditional Generative Latent Optimization. ICIP (2020)
Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith
Federated Optimization in Heterogeneous Networks. MLSys (2020)
Maher Nouiehed, Maziar Sanjabi, Tianjian Huang, Jason D. Lee, Meisam Razaviyayn
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods. CoRR (2019)
Yiwei Zhao, Han Liu, Igor Borovikov, Ahmad Beirami, Maziar Sanjabi, Kazi A. Zaman
Multi-theme generative adversarial terrain amplification. ACM Trans. Graph. 38 (6) (2019)
Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith
FedDANE: A Federated Newton-Type Method. ACSSC (2019)
Maziar Sanjabi, Sina Baharlouei, Meisam Razaviyayn, Jason D. Lee
When Does Non-Orthogonal Tensor Decomposition Have No Spurious Local Minima? CoRR (2019)
Babak Barazandeh, Meisam Razaviyayn, Maziar Sanjabi
Training Generative Networks Using Random Discriminators. DSW (2019)
Tian Li, Maziar Sanjabi, Virginia Smith
Fair Resource Allocation in Federated Learning. CoRR (2019)
Babak Barazandeh, Meisam Razaviyayn, Maziar Sanjabi
Training generative networks using random discriminators. CoRR (2019)
Maher Nouiehed, Maziar Sanjabi, Tianjian Huang, Jason D. Lee, Meisam Razaviyayn
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods. NeurIPS (2019)
Maziar Sanjabi, Meisam Razaviyayn, Jason D. Lee
Solving Non-Convex Non-Concave Min-Max Games Under Polyak-Łojasiewicz Condition. CoRR (2018)
Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn, Jason D. Lee
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport. NeurIPS (2018)
Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn, Jason D. Lee
Solving Approximate Wasserstein GANs to Stationarity. CoRR (2018)
Anit Kumar Sahu, Tian Li, Maziar Sanjabi, Manzil Zaheer, Ameet Talwalkar, Virginia Smith
On the Convergence of Federated Optimization in Heterogeneous Networks. CoRR (2018)
Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, Ameet Talwalkar
Federated Multi-Task Learning. CoRR (2017)
Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, Ameet S. Talwalkar
Federated Multi-Task Learning. NIPS (2017)
Meisam Razaviyayn, Maziar Sanjabi, Zhi-Quan Luo
A Stochastic Successive Minimization Method for Nonsmooth Nonconvex Optimization with Applications to Transceiver Design in Wireless Communication Networks. Math. Program. 157 (2) (2016)
Mojtaba Kadkhodaie, Konstantina Christakopoulou, Maziar Sanjabi, Arindam Banerjee
Accelerated Alternating Direction Method of Multipliers. KDD (2015)
Maziar Sanjabi, Meisam Razaviyayn, Zhi-Quan Luo
Optimal Joint Base Station Assignment and Beamforming for Heterogeneous Networks. IEEE Trans. Signal Process. 62 (8) (2014)
Hadi Baligh, Mingyi Hong, Wei-Cheng Liao, Zhi-Quan Luo, Meisam Razaviyayn, Maziar Sanjabi, Ruoyu Sun
Cross-Layer Provision of Future Cellular Networks: A WMMSE-based approach. IEEE Signal Process. Mag. 31 (6) (2014)
Maziar Sanjabi, Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo
Joint base station clustering and beamformer design for partial coordinated transmission using statistical channel state information. SPAWC (2014)
Hadi Baligh, Mingyi Hong, Wei-Cheng Liao, Zhi-Quan Luo, Meisam Razaviyayn, Maziar Sanjabi, Ruoyu Sun
Cross Layer Provision of Future Cellular Networks. CoRR (2014)
Meisam Razaviyayn, Maziar Sanjabi, Zhi-Quan Luo
A Stochastic Successive Minimization Method for Nonsmooth Nonconvex Optimization with Applications to Transceiver Design in Wireless Communication Networks. CoRR (2013)
Enbin Song, Qingjiang Shi, Maziar Sanjabi, Ruoyu Sun, Zhi-Quan Luo
Robust SINR-Constrained MISO Downlink Beamforming: When is Semidefinite Programming Relaxation Tight? EURASIP J. Wirel. Commun. Netw. 2012 (2012)
Maziar Sanjabi, Meisam Razaviyayn, Zhi-Quan Luo
Optimal joint base station assignment and downlink beamforming for heterogeneous networks. ICASSP (2012)
Meisam Razaviyayn, Maziar Sanjabi, Zhi-Quan Luo
Linear Transceiver Design for Interference Alignment: Complexity and Computation. IEEE Trans. Inf. Theory 58 (5) (2012)
Enbin Song, Qingjiang Shi, Maziar Sanjabi, Ruoyu Sun, Zhi-Quan Luo
Robust SINR-constrained MISO downlink beamforming: When is semidefinite programming relaxation tight? ICASSP (2011)
Meisam Razaviyayn, Maziar Sanjabi, Zhi-Quan Luo
Linear Transceiver Design for Interference Alignment: Complexity and Computation CoRR (2010)