Farnia, Farzan

39 publications

AISTATS 2025 A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models Xiaoyan Hu, Ho-fung Leung, Farzan Farnia

NeurIPS 2025 APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh

ICLR 2025 Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms Parham Rezaei, Farzan Farnia, Cheuk Ting Li

ICLR 2025 Boosting the Visual Interpretability of CLIP via Adversarial Fine-Tuning Shizhan Gong, Haoyu Lei, Qi Dou, Farzan Farnia

ICML 2025 Certifiably Robust Model Evaluation in Federated Learning Under Meta-Distributional Shifts Amir Najafi, Samin Mahdizadeh Sani, Farzan Farnia

UAI 2025 Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees Azim Ospanov, Farzan Farnia

AISTATS 2025 Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability Zhuorui Ye, Farzan Farnia

ICML 2025 Kernel-Based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-Language Models Shizhan Gong, Yankai Jiang, Qi Dou, Farzan Farnia

ICML 2025 Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference Junbin Liu, Farzan Farnia, Wing-Kin Ma

ICML 2025 PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs Xiaoyan Hu, Ho-Fung Leung, Farzan Farnia

NeurIPS 2025 PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models Lancheng Zou, Shuo Yin, Zehua Pei, Tsung-Yi Ho, Farzan Farnia, Bei Yu

NeurIPS 2025 SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score Mohammad Jalali, Haoyu Lei, Amin Gohari, Farzan Farnia

ICCV 2025 Scendi Score: Prompt-Aware Diversity Evaluation via Schur Complement of CLIP Embeddings Azim Ospanov, Mohammad Jalali, Farzan Farnia

ICML 2025 Towards an Explainable Comparison and Alignment of Feature Embeddings Mohammad Jalali, Bahar Dibaei Nia, Farzan Farnia

CVPR 2025 Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach Jingwei Zhang, Mohammad Jalali, Cheuk Ting Li, Farzan Farnia

NeurIPS 2025 When Kernels Multiply, Clusters Unify: Fusing Embeddings with the Kronecker Product Youqi Wu, Jingwei Zhang, Farzan Farnia

NeurIPS 2025 miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward Azim Ospanov, Farzan Farnia, Roozbeh Yousefzadeh

ICML 2024 An Information Theoretic Approach to Interaction-Grounded Learning Xiaoyan Hu, Farzan Farnia, Ho-Fung Leung

ICML 2024 An Interpretable Evaluation of Entropy-Based Novelty of Generative Models Jingwei Zhang, Cheuk Ting Li, Farzan Farnia

AISTATS 2024 On Convergence in Wasserstein Distance and F-Divergence Minimization Problems Cheuk Ting Li, Jingwei Zhang, Farzan Farnia

UAI 2024 On the Inductive Biases of Demographic Parity-Based Fair Learning Algorithms Haoyu Lei, Amin Gohari, Farzan Farnia

ICLR 2024 Provably Efficient CVaR RL in Low-Rank MDPs Yulai Zhao, Wenhao Zhan, Xiaoyan Hu, Ho-fung Leung, Farzan Farnia, Wen Sun, Jason D. Lee

TMLR 2024 Stability and Generalization in Free Adversarial Training Xiwei Cheng, Kexin Fu, Farzan Farnia

CVPR 2024 Structured Gradient-Based Interpretations via Norm-Regularized Adversarial Training Shizhan Gong, Qi Dou, Farzan Farnia

NeurIPS 2024 Towards a Scalable Reference-Free Evaluation of Generative Models Azim Ospanov, Jingwei Zhang, Mohammad Jalali, Xuenan Cao, Andrej Bogdanov, Farzan Farnia

NeurIPS 2023 An Information-Theoretic Evaluation of Generative Models in Learning Multi-Modal Distributions Mohammad Jalali, Cheuk Ting Li, Farzan Farnia

AISTATS 2023 Mode-Seeking Divergences: Theory and Applications to GANs Cheuk Ting Li, Farzan Farnia

ICCV 2023 MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope Jingwei Zhang, Farzan Farnia

UAI 2023 On the Role of Generalization in Transferability of Adversarial Examples Yilin Wang, Farzan Farnia

NeurIPSW 2023 Provably Efficient CVaR RL in Low-Rank MDPs Yulai Zhao, Wenhao Zhan, Xiaoyan Hu, Ho-fung Leung, Farzan Farnia, Wen Sun, Jason Lee

ICML 2022 On Convergence of Gradient Descent Ascent: A Tight Local Analysis Haochuan Li, Farzan Farnia, Subhro Das, Ali Jadbabaie

ICML 2021 A Wasserstein Minimax Framework for Mixed Linear Regression Theo Diamandis, Yonina Eldar, Alireza Fallah, Farzan Farnia, Asuman Ozdaglar

ICML 2021 Train Simultaneously, Generalize Better: Stability of Gradient-Based Minimax Learners Farzan Farnia, Asuman Ozdaglar

ICML 2020 Do GANs Always Have Nash Equilibria? Farzan Farnia, Asuman Ozdaglar

NeurIPS 2020 Robust Federated Learning: The Case of Affine Distribution Shifts Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie

ICLR 2019 Generalizable Adversarial Training via Spectral Normalization Farzan Farnia, Jesse Zhang, David Tse

NeurIPS 2018 A Convex Duality Framework for GANs Farzan Farnia, David Tse

NeurIPS 2016 A Minimax Approach to Supervised Learning Farzan Farnia, David Tse

NeurIPS 2015 Discrete Rényi Classifiers Meisam Razaviyayn, Farzan Farnia, David Tse