Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance
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2023 |
Kwon, Dohyun |
End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking
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2023 |
Bansal, Arpit |
Algorithms with Prediction Portfolios
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2023 |
Dinitz, Michael |
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
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2023 |
Yang, Wanqian |
Adaptively Exploiting d-Separators with Causal Bandits
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2023 |
Bilodeau, Blair |
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
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2023 |
Wei, Chunyu |
Biologically plausible solutions for spiking networks with efficient coding
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2023 |
Koren, Veronika |
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning
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2023 |
Jiang, Yuhang |
Boosting Out-of-distribution Detection with Typical Features
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2023 |
Zhu, Yao |
Invariant and Transportable Representations for Anti-Causal Domain Shifts
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2023 |
Jiang, Yibo |
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
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2023 |
Tanaka, Yusuke |
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes
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2023 |
Kalavasis, Alkis |
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
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2023 |
Chen, Jinglin |
Task-level Differentially Private Meta Learning
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2023 |
Zhou, Xinyu |
Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions
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2023 |
Sakaue, Shinsaku |
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
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2023 |
Liu, Songming |
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret
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2023 |
Papadigenopoulos, Orestis |
Optimal and Adaptive Monteiro-Svaiter Acceleration
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2023 |
Carmon, Yair |
SparCL: Sparse Continual Learning on the Edge
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2023 |
Wang, Zifeng |
Pyramid Attention For Source Code Summarization
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2023 |
Chai, Lei |