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Papers
Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation
ICML 2025
A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization
ICML 2025
Faster Algorithms for Agnostically Learning Disjunctions and their Implications
COLT 2025
On Learning Parallel Pancakes with Mostly Uniform Weights
ICML 2025
Pruning for GNNs: Lower Complexity with Comparable Expressiveness
ICML 2025
The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning
ICLR 2025
Understanding Model Ensemble in Transferable Adversarial Attack
ICML 2025
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
ICML 2025
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
ICML 2024
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
ICML 2024
On The Complexity of First-Order Methods in Stochastic Bilevel Optimization
ICML 2024