Maziar Sanjabi

88 papers A* 17A 1B 1Misc 3Journal 54Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation. CoRR Hamed Firooz, Maziar Sanjabi, Adrian Englhardt, Aman Gupta, Ben Levine, Dre Olgiati, Gungor Polatkan, Iuliia Melnychuk, Karthik Ramgopal, Kirill Talanine, Kutta Srinivasan, Luke Simon, Natesh Sivasubramoniapillai, Necip Fazil Ayan, Qingquan Song, Samira Sriram, Souvik Ghosh, Tao Song, Vignesh Kothapalli, Xiaoling Zhai, Ya Xu, Yu Wang, Yun Dai
2025	J	`jnl`	CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context Demonstrations. CoRR Vignesh Kothapalli, Hamed Firooz, Maziar Sanjabi
2025	—	`conf`	CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations. ACL (1) Vignesh Kothapalli, Hamed Firooz, Maziar Sanjabi
2025	J	`jnl`	Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications. CoRR Kayhan Behdin, Yun Dai, Ata Fatahi Baarzi, Aman Gupta, Qingquan Song, Shao Tang, Hejian Sang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Maziar Sanjabi, Vignesh Kothapalli, Hamed Firooz, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Zhipeng Wang, Rahul Mazumder, Natesh S. Pillai, Luke Simon
2025	J	`jnl`	To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples. CoRR Vignesh Kothapalli, Ata Fatahi Baarzi, Hamed Firooz, Maziar Sanjabi
2024	J	`jnl`	DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning. CoRR Jonathan Lebensold, Maziar Sanjabi, Pietro Astolfi, Adriana Romero-Soriano, Kamalika Chaudhuri, Mike Rabbat, Chuan Guo
2024	A*	`conf`	Differentially Private Representation Learning via Image Captioning. ICML Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Oliviero Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo
2024	J	`jnl`	Differentially Private Representation Learning via Image Captioning. CoRR Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo
2024	A*	`conf`	Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP. EMNLP Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi, Daniela Massiceti, Soheil Feizi
2024	J	`jnl`	Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks. CoRR Hamed Firooz, Maziar Sanjabi, Wenlong Jiang, Xiaoling Zhai
2024	A*	`conf`	Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features. AAAI Neha Mukund Kalibhat, Kanika Narang, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2024	—	`conf`	RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. NAACL-HLT Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
2024	—	`conf`	Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. ECCV (70) 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
2024	A*	`conf`	ViP: A Differentially Private Foundation Model for Computer Vision. ICML Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo
2023	A*	`conf`	Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. ICML Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi
2023	J	`jnl`	Augmenting CLIP with Improved Visio-Linguistic Reasoning. CoRR Samyadeep Basu, Maziar Sanjabi, Daniela Massiceti, Shell Xu Hu, Soheil Feizi
2023	A*	`conf`	COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. EMNLP Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie
2023	A*	`conf`	Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CVPR Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
2023	J	`jnl`	Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning. CoRR Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan
2023	J	`jnl`	EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods. CoRR Samyadeep Basu, Mehrdad Saberi, Shweta Bhardwaj, Atoosa Malemir Chegini, Daniela Massiceti, Maziar Sanjabi, Shell Xu Hu, Soheil Feizi
2023	A*	`conf`	Identifying Interpretable Subspaces in Image Representations. ICML Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2023	J	`jnl`	Identifying Interpretable Subspaces in Image Representations. CoRR Neha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2023	J	`jnl`	On Tilted Losses in Machine Learning: Theory and Applications. J. Mach. Learn. Res. Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
2023	J	`jnl`	Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. CoRR Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
2023	A*	`conf`	Text-To-Concept (and Back) via Cross-Model Alignment. ICML Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
2023	J	`jnl`	Text-To-Concept (and Back) via Cross-Model Alignment. CoRR Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
2023	J	`jnl`	Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. CoRR 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
2023	—	`conf`	Text2Concept: Concept Activation Vectors Directly From Text. XAI4CV Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
2023	—	`conf`	Text2Concept: Concept Activation Vectors Directly from Text. CVPR Workshops Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi
2023	J	`jnl`	ViP: A Differentially Private Foundation Model for Computer Vision. CoRR Yaodong Yu, Maziar Sanjabi, Yi Ma, Kamalika Chaudhuri, Chuan Guo
2023	A*	`conf`	Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning. ICLR John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael G. Rabbat
2022	J	`jnl`	Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano. CoRR Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi
2022	J	`jnl`	BARACK: Partially Supervised Group Robustness With Guarantees. CoRR Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré
2022	J	`jnl`	COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. CoRR Nan Wang, Shaoliang Nie, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang
2022	—	`conf`	Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. ACL (Findings) Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz
2022	J	`jnl`	Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. CoRR Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz
2022	J	`jnl`	ER-TEST: Evaluating Explanation Regularization Methods for NLP Models. CoRR Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren
2022	—	`conf`	ER-Test: Evaluating Explanation Regularization Methods for Language Models. EMNLP (Findings) Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren
2022	J	`jnl`	FRAME: Evaluating Simulatability Metrics for Free-Text Rationales. CoRR Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren
2022	J	`jnl`	FedShuffle: Recipes for Better Use of Local Work in Federated Learning. CoRR Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael G. Rabbat
2022	J	`jnl`	FedShuffle: Recipes for Better Use of Local Work in Federated Learning. Trans. Mach. Learn. Res. Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael G. Rabbat
2022	A*	`conf`	Federated Learning with Partial Model Personalization. ICML Krishna Pillutla, Kshitiz Malik, Abdelrahman Mohamed, Michael G. Rabbat, Maziar Sanjabi, Lin Xiao
2022	J	`jnl`	Federated Learning with Partial Model Personalization. CoRR Krishna Pillutla, Kshitiz Malik, Abdelrahman Mohamed, Michael G. Rabbat, Maziar Sanjabi, Lin Xiao
2022	A*	`conf`	UNIREX: A Unified Learning Framework for Language Model Rationale Extraction. ICML Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz
2022	J	`jnl`	Understanding Failure Modes of Self-Supervised Learning. CoRR Neha Mukund Kalibhat, Kanika Narang, Liang Tan, Hamed Firooz, Maziar Sanjabi, Soheil Feizi
2022	J	`jnl`	Where to Begin? Exploring the Impact of Pre-Training and Initialization in Federated Learning. CoRR John Nguyen, Kshitiz Malik, Maziar Sanjabi, Michael G. Rabbat
2022	J	`jnl`	Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning. CoRR John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael G. Rabbat
2021	J	`jnl`	A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision. CoRR Ajinkya Tejankar, Maziar Sanjabi, Bichen Wu, Saining Xie, Madian Khabsa, Hamed Pirsiavash, Hamed Firooz
2021	A	`conf`	Alternating Direction Method of Multipliers for Quantization. AISTATS Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn
2021	—	`conf`	MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding. EMNLP (Findings) Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz
2021	J	`jnl`	Modality-specific Distillation. CoRR Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz
2021	J	`jnl`	On Tilted Losses in Machine Learning: Theory and Applications. CoRR Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
2021	A*	`conf`	Tilted Empirical Risk Minimization. ICLR Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
2021	J	`jnl`	UniREx: A Unified Learning Framework for Language Model Rationale Extraction. CoRR Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz
2020	J	`jnl`	Alternating Direction Method of Multipliers for Quantization. CoRR Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn
2020	B	`conf`	Building Placements In Urban Modeling Using Conditional Generative Latent Optimization. ICIP Jingwen Liang, Han Liu, Yiwei Zhao, Maziar Sanjabi, Mohsen Sardari, Harold Chaput, Navid Aghdaie, Kazi A. Zaman
2020	A*	`conf`	Fair Resource Allocation in Federated Learning. ICLR Tian Li, Maziar Sanjabi, Ahmad Beirami, Virginia Smith
2020	J	`jnl`	FedDANE: A Federated Newton-Type Method. CoRR Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith
2020	—	`conf`	Federated Optimization in Heterogeneous Networks. MLSys Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith
2020	J	`jnl`	Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances. CoRR Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong
2020	J	`jnl`	Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances. IEEE Signal Process. Mag. Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong
2020	J	`jnl`	Tilted Empirical Risk Minimization. CoRR Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith
2019	J	`jnl`	Fair Resource Allocation in Federated Learning. CoRR Tian Li, Maziar Sanjabi, Virginia Smith
2019	Misc	`conf`	FedDANE: A Federated Newton-Type Method. ACSSC Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith
2019	J	`jnl`	Multi-theme generative adversarial terrain amplification. ACM Trans. Graph. Yiwei Zhao, Han Liu, Igor Borovikov, Ahmad Beirami, Maziar Sanjabi, Kazi A. Zaman
2019	A*	`conf`	Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods. NeurIPS Maher Nouiehed, Maziar Sanjabi, Tianjian Huang, Jason D. Lee, Meisam Razaviyayn
2019	J	`jnl`	Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods. CoRR Maher Nouiehed, Maziar Sanjabi, Tianjian Huang, Jason D. Lee, Meisam Razaviyayn
2019	—	`conf`	Training Generative Networks Using Random Discriminators. DSW Babak Barazandeh, Meisam Razaviyayn, Maziar Sanjabi
2019	J	`jnl`	Training generative networks using random discriminators. CoRR Babak Barazandeh, Meisam Razaviyayn, Maziar Sanjabi
2019	J	`jnl`	When Does Non-Orthogonal Tensor Decomposition Have No Spurious Local Minima? CoRR Maziar Sanjabi, Sina Baharlouei, Meisam Razaviyayn, Jason D. Lee
2018	A*	`conf`	On the Convergence and Robustness of Training GANs with Regularized Optimal Transport. NeurIPS Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn, Jason D. Lee
2018	J	`jnl`	On the Convergence of Federated Optimization in Heterogeneous Networks. CoRR Anit Kumar Sahu, Tian Li, Maziar Sanjabi, Manzil Zaheer, Ameet Talwalkar, Virginia Smith
2018	J	`jnl`	Solving Approximate Wasserstein GANs to Stationarity. CoRR Maziar Sanjabi, Jimmy Ba, Meisam Razaviyayn, Jason D. Lee
2018	J	`jnl`	Solving Non-Convex Non-Concave Min-Max Games Under Polyak-Łojasiewicz Condition. CoRR Maziar Sanjabi, Meisam Razaviyayn, Jason D. Lee
2017	—	`conf`	Federated Multi-Task Learning. NIPS Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, Ameet Talwalkar
2017	J	`jnl`	Federated Multi-Task Learning. CoRR Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, Ameet Talwalkar
2016	J	`jnl`	A Stochastic Successive Minimization Method for Nonsmooth Nonconvex Optimization with Applications to Transceiver Design in Wireless Communication Networks. Math. Program. Meisam Razaviyayn, Maziar Sanjabi, Zhi-Quan Luo
2015	A*	`conf`	Accelerated Alternating Direction Method of Multipliers. KDD Mojtaba Kadkhodaie, Konstantina Christakopoulou, Maziar Sanjabi, Arindam Banerjee
2014	J	`jnl`	Cross Layer Provision of Future Cellular Networks. CoRR Hadi Baligh, Mingyi Hong, Wei-Cheng Liao, Zhi-Quan Luo, Meisam Razaviyayn, Maziar Sanjabi, Ruoyu Sun
2014	J	`jnl`	Cross-Layer Provision of Future Cellular Networks: A WMMSE-based approach. IEEE Signal Process. Mag. Hadi Baligh, Mingyi Hong, Wei-Cheng Liao, Zhi-Quan Luo, Meisam Razaviyayn, Maziar Sanjabi, Ruoyu Sun
2014	—	`conf`	Joint base station clustering and beamformer design for partial coordinated transmission using statistical channel state information. SPAWC Maziar Sanjabi, Mingyi Hong, Meisam Razaviyayn, Zhi-Quan Luo
2014	J	`jnl`	Optimal Joint Base Station Assignment and Beamforming for Heterogeneous Networks. IEEE Trans. Signal Process. Maziar Sanjabi, Meisam Razaviyayn, Zhi-Quan Luo
2013	J	`jnl`	A Stochastic Successive Minimization Method for Nonsmooth Nonconvex Optimization with Applications to Transceiver Design in Wireless Communication Networks. CoRR Meisam Razaviyayn, Maziar Sanjabi, Zhi-Quan Luo
2012	J	`jnl`	Linear Transceiver Design for Interference Alignment: Complexity and Computation. IEEE Trans. Inf. Theory Meisam Razaviyayn, Maziar Sanjabi, Zhi-Quan Luo
2012	Misc	`conf`	Optimal joint base station assignment and downlink beamforming for heterogeneous networks. ICASSP Maziar Sanjabi, Meisam Razaviyayn, Zhi-Quan Luo
2012	J	`jnl`	Robust SINR-Constrained MISO Downlink Beamforming: When is Semidefinite Programming Relaxation Tight? EURASIP J. Wirel. Commun. Netw. Enbin Song, Qingjiang Shi, Maziar Sanjabi, Ruoyu Sun, Zhi-Quan Luo
2011	Misc	`conf`	Robust SINR-constrained MISO downlink beamforming: When is semidefinite programming relaxation tight? ICASSP Enbin Song, Qingjiang Shi, Maziar Sanjabi, Ruoyu Sun, Zhi-Quan Luo
2010	J	`jnl`	Linear Transceiver Design for Interference Alignment: Complexity and Computation CoRR Meisam Razaviyayn, Maziar Sanjabi, Zhi-Quan Luo