Bryan Kian Hsiang Low

10

Papers

3

Total Citations

Papers (10)

Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates

Decentralized Sum-of-Nonconvex Optimization

DeRDaVa: Deletion-Robust Data Valuation for Machine Learning

Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components

Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization

Deletion-Anticipative Data Selection with a Limited Budget

Distributionally Robust Data Valuation

Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers

Paid with Models: Optimal Contract Design for Collaborative Machine Learning

Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions