Joshua Agterberg

13 papers A* 1A 2Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks. AISTATS Uday Kiran Reddy Tadipatri, Benjamin David Haeffele, Joshua Agterberg, René Vidal
2025	J	`jnl`	Concentration bounds on response-based vector embeddings of black-box generative models. CoRR Aranyak Acharyya, Joshua Agterberg, Youngser Park, Carey E. Priebe
2025	A*	`conf`	LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning. ICLR Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal
2025	—	`conf`	Nonconvex Linear System Identification with Minimal State Representation. L4DC Uday Kiran Reddy Tadipatri, Benjamin D. Haeffele, Joshua Agterberg, Ingvar M. Ziemann, René Vidal
2025	J	`jnl`	Nonconvex Linear System Identification with Minimal State Representation. CoRR Uday Kiran Reddy Tadipatri, Benjamin D. Haeffele, Joshua Agterberg, Ingvar M. Ziemann, René Vidal
2024	J	`jnl`	A Convex Relaxation Approach to Generalization Analysis for Parallel Positively Homogeneous Networks. CoRR Uday Kiran Reddy Tadipatri, Benjamin D. Haeffele, Joshua Agterberg, René Vidal
2024	J	`jnl`	Correcting a nonparametric two-sample graph hypothesis test for graphs with different numbers of vertices with applications to connectomics. Appl. Netw. Sci. Anton Alyakin, Joshua Agterberg, Hayden S. Helm, Carey E. Priebe
2024	J	`jnl`	ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models. CoRR Liangzu Peng, Juan Elenter, Joshua Agterberg, Alejandro Ribeiro, René Vidal
2023	J	`jnl`	Semisupervised regression in latent structure networks on unknown manifolds. Appl. Netw. Sci. Aranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Youngser Park, Carey E. Priebe
2023	J	`jnl`	Semisupervised regression in latent structure networks on unknown manifolds. CoRR Aranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Youngser Park, Carey E. Priebe
2022	J	`jnl`	Entrywise Estimation of Singular Vectors of Low-Rank Matrices With Heteroskedasticity and Dependence. IEEE Trans. Inf. Theory Joshua Agterberg, Zachary Lubberts, Carey E. Priebe
2022	A	`conf`	Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms. AISTATS Joshua Agterberg, Jeremias Sulam
2019	J	`jnl`	Vertex Nomination, Consistent Estimation, and Adversarial Modification. CoRR Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher M. White, Carey E. Priebe, Vince Lyzinski