Tesi Xiao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Statistical Inference

Monte Carlo Sampling

Top Venues

Oper. Res. Lett.

Publications

Xun Tang, Holakou Rahmanian, Michael Shavlovsky, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
A Sinkhorn-type Algorithm for Constrained Optimal Transport. CoRR (2024)
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations. CoRR (2024)
Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. AISTATS (2024)
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
Accelerating Sinkhorn algorithm with sparse Newton iterations. ICLR (2024)
Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. CoRR (2023)
Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi
A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization. UAI (2023)
Tesi Xiao, Branislav Kveton, Sumeet Katariya, Tanmay Gangwani, Anshuka Rangi
Towards Sequential Counterfactual Learning to Rank. SIGIR-AP (2023)
Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization. CoRR (2023)
Xuxing Chen, Tesi Xiao, Krishnakumar Balasubramanian
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions. CoRR (2023)
Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi
Improved complexities for stochastic conditional gradient methods under interpolation-like conditions. Oper. Res. Lett. 50 (2) (2022)
Tesi Xiao, Xia Xiao, Ming Chen, Youlong Chen
Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction. DL4SR@CIKM (2022)
Tesi Xiao, Xia Xiao, Ming Chen, Youlong Chen
Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction. CoRR (2022)
Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization. NeurIPS (2022)
Yanhao Jin, Tesi Xiao, Krishnakumar Balasubramanian
Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm. CoRR (2021)
Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework. CVPR (2020)
Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi
Improved Complexities for Stochastic Conditional Gradient Methods under Interpolation-like Conditions. CoRR (2020)
Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise. CoRR (2019)