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Poster
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Thu 16:30
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Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity
Kaja Gruntkowska · Alexander Tyurin · Peter Richtarik
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Poster
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Wed 16:30
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Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions
Hideaki Kim
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Poster
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Fri 16:30
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Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
Wooseong Cho · Taehyun Hwang · Joongkyu Lee · Min-hwan Oh
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Poster
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Fri 16:30
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GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes
Gaochao Song · Chong Cheng · Hao Wang
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Poster
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Fri 16:30
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SAND: Smooth imputation of sparse and noisy functional data with Transformer networks
Ju-Sheng Hong · Junwen Yao · Jonas Mueller · Jane-Ling Wang
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Poster
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Wed 11:00
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Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation
Xin Hu · Xiaole Tang · Ruixuan Yu · Jian Sun
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Poster
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Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints
zhenwei lin · Qi Deng
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Poster
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Thu 11:00
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Achieving Constant Regret in Linear Markov Decision Processes
Weitong Zhang · Zhiyuan Fan · Jiafan He · Quanquan Gu
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Poster
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Wed 16:30
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SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions
Hongchao Zhang · Zhizhen Qin · Sicun Gao · Andrew Clark
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Poster
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Fri 16:30
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S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
Yuezhou Hu · Jun Zhu · Jianfei Chen
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Poster
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Fri 16:30
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Identifying Causal Effects Under Functional Dependencies
Yizuo Chen · Adnan Darwiche
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Poster
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Thu 11:00
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On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation
Yuheng Zhang · Nan Jiang
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