Tesi Xiao

According to our database, Tesi Xiao authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions.

Xuxing Chen, Tesi Xiao, Krishnakumar Balasubramanian

J. Mach. Learn. Res., 2024

Orbit: A Framework for Designing and Evaluating Multi-objective Rankers.

Chenyang Yang, Tesi Xiao, Michael Shavlovsky, Christian Kästner, Tongshuang Wu

CoRR, 2024

HyperDPO: Hypernetwork-based Multi-Objective Fine-Tuning Framework.

Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian

CoRR, 2024

A Sinkhorn-type Algorithm for Constrained Optimal Transport.

Xun Tang, Holakou Rahmanian, Michael Shavlovsky, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying

CoRR, 2024

Accelerating Sinkhorn algorithm with sparse Newton iterations.

Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow.

Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization.

Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Towards Sequential Counterfactual Learning to Rank.

Tesi Xiao, Branislav Kveton, Sumeet Katariya, Tanmay Gangwani, Anshuka Rangi

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

2022

Improved complexities for stochastic conditional gradient methods under interpolation-like conditions.

Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi

Oper. Res. Lett., 2022

A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization.

Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction.

Tesi Xiao, Xia Xiao, Ming Chen, Youlong Chen

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021

Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm.

Yanhao Jin, Tesi Xiao, Krishnakumar Balasubramanian

CoRR, 2021

2020

How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework.

Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise.

Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh

CoRR, 2019