Ghosh, Soumya

29 publications

NeurIPS 2025 Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods Dennis Wei, Inkit Padhi, Soumya Ghosh, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Maria Chang

TMLR 2025 Large Language Model Confidence Estimation via Black-Box Access Tejaswini Pedapati, Amit Dhurandhar, Soumya Ghosh, Soham Dan, Prasanna Sattigeri

NeurIPS 2024 $\textit{Trans-LoRA}$: Towards Data-Free Transferable Parameter Efficient Finetuning Runqian Wang, Soumya Ghosh, David Cox, Diego Antognini, Aude Oliva, Rogerio Feris, Leonid Karlinsky

NeurIPS 2024 Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? Maohao Shen, J. Jon Ryu, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell

TMLR 2024 Are You Using Test Log-Likelihood Correctly? Sameer Deshpande, Soumya Ghosh, Tin D. Nguyen, Tamara Broderick

ICML 2024 Thermometer: Towards Universal Calibration for Large Language Models Maohao Shen, Subhro Das, Kristjan Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh

NeurIPSW 2023 Influence Based Approaches to Algorithmic Fairness: A Closer Look Soumya Ghosh, Prasanna Sattigeri, Inkit Padhi, Manish Nagireddy, Jie Chen

AAAI 2023 Post-Hoc Uncertainty Learning Using a Dirichlet Meta-Model Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell

AISTATS 2022 Measuring the Robustness of Gaussian Processes to Kernel Choice William T. Stephenson, Soumya Ghosh, Tin D. Nguyen, Mikhail Yurochkin, Sameer Deshpande, Tamara Broderick

NeurIPSW 2022 Are You Using Test Log-Likelihood Correctly? Sameer Deshpande, Soumya Ghosh, Tin D. Nguyen, Tamara Broderick

NeurIPS 2022 Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre Dognin, Kush R Varshney

MLHC 2021 EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Cao Xiao, Jimeng Sun

UAI 2021 Post-Hoc Loss-Calibration for Bayesian Neural Networks Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin

NeurIPS 2020 Approximate Cross-Validation for Structured Models Soumya Ghosh, Will Stephenson, Tin D Nguyen, Sameer Deshpande, Tamara Broderick

ICML 2020 Model Fusion with Kullback-Leibler Divergence Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon

MLHC 2020 Personalized Input-Output Hidden Markov Models for Disease Progression Modeling Kristen A. Severson, Lana M. Chahine, Luba Smolensky, Kenney Ng, Jianying Hu, Soumya Ghosh

ICML 2019 Bayesian Nonparametric Federated Learning of Neural Networks Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Nghia Hoang, Yasaman Khazaeni

JMLR 2019 Model Selection in Bayesian Neural Networks via Horseshoe Priors Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez

NeurIPS 2019 Statistical Model Aggregation via Parameter Matching Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Nghia Hoang

AAAI 2019 Unsupervised Learning with Contrastive Latent Variable Models Kristen A. Severson, Soumya Ghosh, Kenney Ng

AAAI 2018 Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng

ICML 2018 Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez

CVPR 2017 Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks Ajjen Joshi, Soumya Ghosh, Margrit Betke, Stan Sclaroff, Hanspeter Pfister

AAAI 2016 Assumed Density Filtering Methods for Learning Bayesian Neural Networks Soumya Ghosh, Francesco Maria Delle Fave, Jonathan S. Yedidia

UAI 2014 Nonparametric Clustering with Distance Dependent Hierarchies Soumya Ghosh, Michalis Raptis, Leonid Sigal, Erik B. Sudderth

NeurIPS 2012 From Deformations to Parts: Motion-Based Segmentation of 3D Objects Soumya Ghosh, Matthew Loper, Erik B. Sudderth, Michael J. Black

CVPR 2012 Nonparametric Learning for Layered Segmentation of Natural Images Soumya Ghosh, Erik B. Sudderth

NeurIPS 2011 Spatial Distance Dependent Chinese Restaurant Processes for Image Segmentation Soumya Ghosh, Andrei B. Ungureanu, Erik B. Sudderth, David M. Blei

AAAI 2007 Machine Learning for Automatic Mapping of Planetary Surfaces Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta