Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
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2023 |
Zhang, Liang |
SnAKe: Bayesian Optimization with Pathwise Exploration
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2023 |
Folch, Jose Pablo |
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF
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2023 |
Parekh, Jayneel |
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
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2023 |
Chen, Wuyang |
Kernel Memory Networks: A Unifying Framework for Memory Modeling
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2023 |
Iatropoulos, Georgios |
On the Effectiveness of Persistent Homology
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2023 |
Turkes, Renata |
Recursive Reinforcement Learning
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2023 |
Hahn, Ernst Moritz |
Robustness to Label Noise Depends on the Shape of the Noise Distribution
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2023 |
Oyen, Diane |
Fast Neural Kernel Embeddings for General Activations
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2023 |
Han, Insu |
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
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2023 |
Rojas-Gomez, Renan A. |
Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise
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2023 |
Savarese, Pedro |
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
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2023 |
Sattigeri, Prasanna |
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining
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2023 |
Liu, Hao |
A Regret-Variance Trade-Off in Online Learning
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2023 |
van der Hoeven, Dirk |
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity
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2023 |
Agarwal, Alekh |
The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization
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2023 |
Kovalev, Dmitry |
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
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2023 |
YVINEC, Edouard |
Contrastive Learning as Goal-Conditioned Reinforcement Learning
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2023 |
Eysenbach, Benjamin |
A Multilabel Classification Framework for Approximate Nearest Neighbor Search
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2023 |
Hyvönen, Ville |
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
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2023 |
Wang, Boxin |