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2023 |
Wang, Zhenyu |
| Learning Bipartite Graphs: Heavy Tails and Multiple Components
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2023 |
de Miranda Cardoso, José Vinícius |
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2023 |
Zhong, Weishun |
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2023 |
Golkar, Siavash |
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2023 |
Shahin Shamsabadi, Ali |
| BiT: Robustly Binarized Multi-distilled Transformer
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2023 |
Liu, Zechun |
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2023 |
Oh, Youngmin |
| Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials
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2023 |
Nichani, Eshaan |
| Private Set Generation with Discriminative Information
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2023 |
Chen, Dingfan |
| Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
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2023 |
Korotin, Alexander |
| Distributional Convergence of the Sliced Wasserstein Process
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2023 |
Xi, Jiaqi |
| Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes
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2023 |
Kodryan, Maxim |
| Multi-Scale Adaptive Network for Single Image Denoising
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2023 |
Gou, Yuanbiao |
| Graph Self-supervised Learning with Accurate Discrepancy Learning
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2023 |
Kim, Dongki |
| Hierarchical Normalization for Robust Monocular Depth Estimation
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2023 |
Zhang, Chi |
| Near-Optimal Collaborative Learning in Bandits
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2023 |
Réda, Clémence |
| Approximate Secular Equations for the Cubic Regularization Subproblem
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2023 |
Gao, Yihang |
| Knowledge-Aware Bayesian Deep Topic Model
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2023 |
Wang, Dongsheng |
| Variational inference via Wasserstein gradient flows
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2023 |
Lambert, Marc |
| Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space
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2023 |
Anselmi, Jonatha |
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