Replicable Clustering. - Hossein Esfandiari; Amin Karbasi; Vahab Mirrokni; Grigoris Velegkas; Felix Zhou 002 (NeurIPS, 2023)

Replicability in Reinforcement Learning. - Amin Karbasi; Grigoris Velegkas; Lin Yang 011; Felix Zhou 002 (NeurIPS, 2023)

Replicable Learning of Large-Margin Halfspaces. - Alkis Kalavasis; Amin Karbasi; Kasper Green Larsen; Grigoris Velegkas; Felix Zhou 002 (ICML, 2024)

On the Computational Landscape of Replicable Learning. - Alkis Kalavasis; Amin Karbasi; Grigoris Velegkas; Felix Zhou 002 (NeurIPS, 2024)

Pointwise Lipschitz Continuous Graph Algorithms via Proximal Gradient Analysis. - Quanquan C. Liu; Grigoris Velegkas; Yuichi Yoshida; Felix Zhou 002 (CoRR, 2024)

The Power of Graph Sparsification in the Continual Release Model. - Alessandro Epasto; Quanquan C. Liu; Tamalika Mukherjee; Felix Zhou 002 (CoRR, 2024)

On the complexity of nucleolus computation for bipartite b-matching games. - Jochen Könemann; Justin Toth; Felix Zhou 002 (Theor. Comput. Sci., 2024)

Differentially Private Matchings. - Michael Dinitz; George Z. Li; Quanquan C. Liu; Felix Zhou 002 (CoRR, 2025)

Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases and Beyond. - Alkis Kalavasis; Anay Mehrotra; Felix Zhou 002 (CoRR, 2025)

Private Statistical Estimation via Truncation. - Manolis Zampetakis; Felix Zhou 002 (CoRR, 2025)

Private Training & Data Generation by Clustering Embeddings. - Felix Zhou 002; Samson Zhou; Vahab Mirrokni; Alessandro Epasto; Vincent Cohen-Addad (CoRR, 2025)