Publications
Selected recent publications and working papers. For a full list, see Google Scholar.
SoftWater: Class-Aware Rate Allocation for Softmax Quantization
with Joao Cavalcanti. arXiv
Alignment has a Fantasia Problem
with Nathanael Jo, Zoe De Simone, Mitchell Gordon. arXiv
Pandora's Regret: A Proper Scoring Rule for Evaluating Sequential Search
with Gerardo Flores, Yash Deshpande, Jannis R. Brea. arXiv
Creo: From One-Shot Image Generation to Progressive, Co-Creative Ideation
with Zoe De Simone, Angie Boggust, Fredo Durand, Arvind Satyanarayan. arXiv
Evaluation without Generation: Non-Generative Assessment of Harmful Model Specialization with Applications to CSAM
with Vinith Suriyakumar, Ayush Sekhari, Lena Stempfle, Robertson Wang, Michael Simpson, Rebecca Portnoff, Marzyeh Ghassemi. arXiv
Accelerated Convex Optimization via Hamiltonian Dynamics with Deterministic Integration Time
with Xiuyuan Wang, Vishwak Srinivasan, Qiang Fu, Siddharth Mitra, Andre Wibisono.
A Consequentialist Critique of Binary Classification Evaluation: Theory, Practice, and Tools
with Gerardo Flores, Abby Schiff, Alyssa Smith, Julia Fukuyama. arXiv
Interaction Context Often Increases Sycophancy in LLMs
with Shomik Jain, Charlotte Park, Matheus Vianna, Dana Calacci. arXiv
Near-Optimal Private Linear Regression via Iterative Hessian Mixing
with Omri Lev, Vishwak Srinivasan, Moshe Shenfeld, Katrina Ligett. arXiv
Impacts of Semivalue-Based Data Curation on Fair Machine Learning Outcomes
with Hannah Diehl, Justin Steil. paper
Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
with Gerardo Flores, Alyssa Smith, Julia Fukuyama. arXiv
The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches
with Omri Lev, Vishwak Srinivasan, Moshe Shenfeld, Katrina Ligett, Ayush Sekhari. arXiv
Homogeneous Algorithms Can Reduce Competition in Personalized Pricing
with Nathan Jo, Kathleen Creel, Manish Raghavan. arXiv
High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm
with Vishwak Srinivasan, Andre Wibisono. arXiv
Allocation Multiplicity: Evaluating the Promises of the Rashomon Set
with Shomik Jain, Margaret Wang, Kathleen Creel. arXiv
Algorithmic Pluralism: A Structural Approach To Equal Opportunity
with Shomik Jain, Vinith Suriyakumar, Kathleen Creel. arXiv
Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
with Shomik Jain, Kathleen Creel. arXiv
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models
with Vinith Suriyakumar, Rohan Alur, Ayush Sekhari, Manish Raghavan. arXiv
LLM Output Homogenization is Task Dependent
with Shomik Jain, Jack Lanchantin, Maximilian Nickel, Karen Ullrich, Jamelle Watson-Daniels. arXiv
UCD: Unlearning in LLMs via Contrastive Decoding
with Vinith M. Suriyakumar, Ayush Sekhari. arXiv
Adaptive kernel selection for Stein Variational Gradient Descent
with Moritz Melcher, Simon Weissmann, Jakob Zech. arXiv