Improved complexities for stochastic conditional gradient methods under interpolation-like conditions von Xiao, Tesi, Balasubramanian, Krishnakumar, Ghadimi, Saeed

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Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions von Chen, Xuxing, Xiao, Tesi, Balasubramanian, Krishnakumar

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Orbit: A Framework for Designing and Evaluating Multi-objective Rankers von Yang, Chenyang, Xiao, Tesi, Shavlovsky, Michael, Kästner, Christian, Wu, Tongshuang

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HyperDPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework von Ren, Yinuo, Xiao, Tesi, Shavlovsky, Michael, Ying, Lexing, Rahmanian, Holakou

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A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization von Xiao, Tesi, Balasubramanian, Krishnakumar, Ghadimi, Saeed

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Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction von Xiao, Tesi, Xiao, Xia, Chen, Ming, Chen, Youlong

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A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization von Xiao, Tesi, Chen, Xuxing, Balasubramanian, Krishnakumar, Ghadimi, Saeed

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Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm von Jin, Yanhao, Xiao, Tesi, Balasubramanian, Krishnakumar

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A Sinkhorn-type Algorithm for Constrained Optimal Transport von Tang, Xun, Rahmanian, Holakou, Shavlovsky, Michael, Thekumparampil, Kiran Koshy, Xiao, Tesi, Ying, Lexing

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Accelerating Sinkhorn Algorithm with Sparse Newton Iterations von Tang, Xun, Shavlovsky, Michael, Rahmanian, Holakou, Tardini, Elisa, Thekumparampil, Kiran Koshy, Xiao, Tesi, Ying, Lexing

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Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow von Ren, Yinuo, Xiao, Tesi, Gangwani, Tanmay, Rangi, Anshuka, Rahmanian, Holakou, Ying, Lexing, Sanyal, Subhajit

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Improved Complexities for Stochastic Conditional Gradient Methods under Interpolation-like Conditions von Xiao, Tesi, Balasubramanian, Krishnakumar, Ghadimi, Saeed

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Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions von Chen, Xuxing, Tesi Xiao, Balasubramanian, Krishnakumar

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HyperDPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework von Ren, Yinuo, Tesi Xiao, Shavlovsky, Michael, Lexing Ying, Rahmanian, Holakou

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Orbit: A Framework for Designing and Evaluating Multi-objective Rankers von Yang, Chenyang, Tesi Xiao, Shavlovsky, Michael, Kästner, Christian, Wu, Tongshuang

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A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization von Tesi Xiao, Balasubramanian, Krishnakumar, Ghadimi, Saeed

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Improved Complexities for Stochastic Conditional Gradient Methods under Interpolation-like Conditions von Tesi Xiao, Balasubramanian, Krishnakumar, Ghadimi, Saeed

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Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm von Jin, Yanhao, Tesi Xiao, Balasubramanian, Krishnakumar

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A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization von Tesi Xiao, Chen, Xuxing, Balasubramanian, Krishnakumar, Ghadimi, Saeed

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Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction von Tesi Xiao, Xia, Xiao, Chen, Ming, Chen, Youlong

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