Ying Tiffany He

reinforcement learning (1) stochastic gradient descent (1) hyperparameter optimization (1) neural network optimization (1) out-of-distribution generalization (1) gradient estimation (1) parallel computing (1) iteration complexity (1) low-rank adaptation (1) node classification (1) downstream task (1) first-order optimization (1) kernelized gradient estimation (1) gradient prediction (1) layer selection (1) kernel methods (1) large language model (1) graph neural network (1) subgraph invariant learning (1) invariance representation (1)