Statistical Learning
TowardsStableRepresentationsforProtein InterfacePrediction
This work focuses on protein interface prediction, which aims to determine whether a pair of residues from different proteins interact.
Behavior Alignment via Reward Function Optimization Dhawal Gupta University of Massachusetts Y ash Chandak
Designing reward functions for efficiently guiding reinforcement learning (RL) agents toward specific behaviors is a complex task.
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
Ideally, the obtained unlearnability can prevent algorithms from training usable models.
Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits Muhammad Faaiz Taufiq
Propensity Score (MIPS) estimator, proving that MR achieves lower variance among a generalized family of MIPS estimators.
