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Found 5 papers, 2 papers with code
MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
A central aspect of machine learning research is experimentation, the process of designing and running experiments, analyzing the results, and iterating towards some positive outcome (e. g., improving accuracy).
Scoring Black-Box Models for Adversarial Robustness
Deep neural networks are susceptible to adversarial inputs and various methods have been proposed to defend these models against adversarial attacks under different perturbation models.
PAC Mode Estimation using PPR Martingale Confidence Sequences
This problem reduces to the estimation of a single parameter when $\mathcal{P}$ has a support set of size $K = 2$.
Recovery of Joint Probability Distribution from one-way marginals: Low rank Tensors and Random Projections
Joint probability mass function (PMF) estimation is a fundamental machine learning problem.
Stochastic Approximation Algorithms for Principal Component Analysis
We revisit convex relaxation based methods for stochastic optimization of principal component analysis.
