| 301 |
Distributed Adaptive Sampling for Kernel Matrix Approximation
Daniele Calandriello, Alessandro Lazaric, Michal Valko
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stat.ML
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25 |
8 years ago |
| 302 |
Modal-set estimation with an application to clustering
Heinrich Jiang, Samory Kpotufe
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stat.ML
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25 |
10 years ago |
| 303 |
Active Learning Algorithms for Graphical Model Selection
Gautam Dasarathy, Aarti Singh, ... (+2 more)
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stat.ML
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25 |
10 years ago |
| 304 |
Communication Efficient Distributed Agnostic Boosting
Shang-Tse Chen, Maria-Florina Balcan, Duen Horng Chau
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cs.LG
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25 |
11 years ago |
| 305 |
Particle Gibbs for Bayesian Additive Regression Trees
Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh
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stat.ML
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25 |
11 years ago |
| 306 |
Black-Box Policy Search with Probabilistic Programs
Jan-Willem van de Meent, Brooks Paige, ... (+2 more)
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stat.ML
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25 |
11 years ago |
| 307 |
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
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cs.LG
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24 |
2 years ago |
| 308 |
CADA: Communication-Adaptive Distributed Adam
Tianyi Chen, Ziye Guo, ... (+2 more)
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cs.LG
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24 |
5 years ago |
| 309 |
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling
Mojmír Mutný, Michał Dereziński, Andreas Krause
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math.NA
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24 |
6 years ago |
| 310 |
Learning to Defend by Learning to Attack
Haoming Jiang, Zhehui Chen, ... (+3 more)
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cs.LG
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24 |
7 years ago |
| 311 |
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests
Yuxin Chen, S. Hamed Hassani, Andreas Krause
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cs.LG
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24 |
10 years ago |
| 312 |
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms
Rustem Islamov, Mher Safaryan, Dan Alistarh
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cs.LG
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24 |
2 years ago |
| 313 |
Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach
Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai
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stat.ML
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23 |
7 years ago |
| 314 |
Sharp Analysis of Learning with Discrete Losses
Alex Nowak-Vila, Francis Bach, Alessandro Rudi
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cs.LG
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23 |
7 years ago |
| 315 |
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization
Clarice Poon, Nicolas Keriven, Gabriel Peyré
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cs.IT
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23 |
7 years ago |
| 316 |
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
Peihao Wang, Zhiwen Fan, ... (+9 more)
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cs.CV
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23 |
2 years ago |
| 317 |
A Study of Condition Numbers for First-Order Optimization
Charles Guille-Escuret, Baptiste Goujaud, ... (+2 more)
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cs.LG
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22 |
5 years ago |
| 318 |
Adaptive Trade-Offs in Off-Policy Learning
Mark Rowland, Will Dabney, Rémi Munos
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cs.LG
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22 |
6 years ago |
| 319 |
Non-linear process convolutions for multi-output Gaussian processes
Mauricio A. Álvarez, Wil O. C. Ward, Cristian Guarnizo
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stat.ML
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22 |
7 years ago |
| 320 |
Online Boosting Algorithms for Multi-label Ranking
Young Hun Jung, Ambuj Tewari
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stat.ML
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22 |
8 years ago |
| 321 |
Optimal Cooperative Inference
Scott Cheng-Hsin Yang, Yue Yu, ... (+4 more)
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cs.LG
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22 |
9 years ago |
| 322 |
Proximity Variational Inference
Jaan Altosaar, Rajesh Ranganath, David M. Blei
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stat.ML
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22 |
9 years ago |
| 323 |
Efficient and principled score estimation with Nyström kernel exponential families
Danica J. Sutherland, Heiko Strathmann, ... (+2 more)
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stat.ML
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22 |
9 years ago |
| 324 |
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis
Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra
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cs.LG
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22 |
9 years ago |
| 325 |
Spatial Decompositions for Large Scale SVMs
Philipp Thomann, Ingrid Blaschzyk, ... (+2 more)
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stat.ML
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22 |
9 years ago |
| 326 |
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation
Gandharv Patil, Prashanth L. A., ... (+2 more)
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cs.LG
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22 |
3 years ago |
| 327 |
Computing Abductive Explanations for Boosted Trees
Gilles Audemard, Jean-Marie Lagniez, ... (+2 more)
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cs.AI
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22 |
3 years ago |
| 328 |
Adaptive Compression in Federated Learning via Side Information
Berivan Isik, Francesco Pase, ... (+4 more)
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cs.LG
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21 |
3 years ago |
| 329 |
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting
Yoan Russac, Louis Faury, ... (+2 more)
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cs.LG
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21 |
5 years ago |
| 330 |
Quick Streaming Algorithms for Maximization of Monotone Submodular Functions in Linear Time
Alan Kuhnle
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cs.DS
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21 |
5 years ago |
| 331 |
Adversarial Robustness of Flow-Based Generative Models
Phillip Pope, Yogesh Balaji, Soheil Feizi
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cs.LG
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21 |
6 years ago |
| 332 |
Probabilistic Multilevel Clustering via Composite Transportation Distance
Nhat Ho, Viet Huynh, ... (+2 more)
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cs.LG
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21 |
7 years ago |
| 333 |
Bridging the gap between regret minimization and best arm identification, with application to A/B tests
Rémy Degenne, Thomas Nedelec, ... (+2 more)
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cs.LG
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21 |
7 years ago |
| 334 |
Efficient Linear Bandits through Matrix Sketching
Ilja Kuzborskij, Leonardo Cella, Nicolò Cesa-Bianchi
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cs.LG
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21 |
7 years ago |
| 335 |
Stochastic Neural Networks with Monotonic Activation Functions
Siamak Ravanbakhsh, Barnabas Poczos, ... (+3 more)
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stat.ML
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10 years ago |
| 336 |
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
Zelin He, Ying Sun, ... (+2 more)
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stat.ML
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20 |
2 years ago |
| 337 |
Data-dependent compression of random features for large-scale kernel approximation
Raj Agrawal, Trevor Campbell, ... (+2 more)
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stat.ML
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20 |
7 years ago |
| 338 |
A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization
Zhize Li, Jian Li
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math.OC
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20 |
7 years ago |
| 339 |
No-regret algorithms for online $k$-submodular maximization
Tasuku Soma
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cs.DS
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20 |
8 years ago |
| 340 |
Subsampling for Ridge Regression via Regularized Volume Sampling
Michał Dereziński, Manfred K. Warmuth
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cs.LG
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20 |
8 years ago |
| 341 |
Discrete Distribution Estimation under User-level Local Differential Privacy
Jayadev Acharya, Yuhan Liu, Ziteng Sun
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cs.LG
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20 |
3 years ago |
| 342 |
Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE
Yuqing Zhu, Yu-Xiang Wang
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cs.LG
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20 |
4 years ago |
| 343 |
Compression with Exact Error Distribution for Federated Learning
Mahmoud Hegazy, Rémi Leluc, ... (+2 more)
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cs.LG
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19 |
2 years ago |
| 344 |
Cross-Loss Influence Functions to Explain Deep Network Representations
Andrew Silva, Rohit Chopra, Matthew Gombolay
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cs.LG
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19 |
5 years ago |
| 345 |
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks
Zhiqi Bu, Shiyun Xu, Kan Chen
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cs.LG
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19 |
5 years ago |
| 346 |
Nonmyopic Gaussian Process Optimization with Macro-Actions
Dmitrii Kharkovskii, Chun Kai Ling, Kian Hsiang Low
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cs.LG
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19 |
6 years ago |
| 347 |
Online Page Migration with ML Advice
Piotr Indyk, Frederik Mallmann-Trenn, ... (+2 more)
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cs.DS
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19 |
6 years ago |
| 348 |
Conditional Importance Sampling for Off-Policy Learning
Mark Rowland, Anna Harutyunyan, ... (+5 more)
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cs.LG
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19 |
6 years ago |
| 349 |
Adaptive Estimation for Approximate k-Nearest-Neighbor Computations
Daniel LeJeune, Richard G. Baraniuk, Reinhard Heckel
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👻
Ghosted
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cs.DS
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19 |
7 years ago |
| 350 |
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy
Majid Jahani, Xi He, ... (+5 more)
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cs.LG
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19 |
7 years ago |