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2023 |
Ahmed, Kareem |
| Data Dependent Randomized Smoothing
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2023 |
Alfarra, Motasem |
| Asymmetric DQN for Partially Observable Reinforcement Learning
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2023 |
Baisero, Andrea |
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2023 |
Bao, Yajie |
| On the Inductive Bias of Neural Networks for Learning Read-Once DNFs
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2023 |
Bronstein, Ido |
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2023 |
Cai, Difeng |
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2023 |
Cao, Yiting |
| The Optimal Noise in Noise-Contrastive Learning is Not What You Think
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2023 |
Chehab, Omar |
| Sublinear Time Algorithms for Greedy Selection in High Dimensions
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2023 |
Chen, Qi |
| Knowledge Representation Combining Quaternion Path Integration and Depth-Wise Atrous Circular Convolution
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2023 |
Chen, Xinyuan |
| Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision
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2023 |
Chen, Mayee F. |
| Greedy Equivalence Search in the Presence of Latent Confounders
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2023 |
Claassen, Tom |
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2023 |
Benz, Nina L. Corvelo |
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2023 |
Dinari, Or |
| Self-Distribution Distillation: Efficient Uncertainty Estimation
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2023 |
Fathullah, Yassir |
| Mitigating Statistical Bias Within Differentially Private Synthetic Data
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2023 |
Ghalebikesabi, Sahra |
| Do Bayesian Variational Autoencoders Know What They Don’t Know?
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2023 |
Glazunov, Misha |
| Mutation-Driven Follow the Regularized Leader for Last-iterate Convergence in Zero-sum Games
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2023 |
Abe, Kenshi |
| Empirical Bayes Approach to Truth Discovery Problems
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2023 |
Shabat, Tsviel Ben |
| On Testability of the Front-Door Model Via Verma Constraints
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2023 |
Bhattacharya, Rohit |
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