| 251 |
The Binary Space Partitioning-Tree Process
Xuhui Fan, Bin Li, Scott Anthony Sisson
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stat.ML
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32 |
7 years ago |
| 252 |
Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods
Robert M. Gower, Nicolas Le Roux, Francis Bach
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math.OC
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32 |
8 years ago |
| 253 |
Quantifying Uncertainty in Natural Language Explanations of Large Language Models
Sree Harsha Tanneru, Chirag Agarwal, Himabindu Lakkaraju
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cs.CL
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32 |
2 years ago |
| 254 |
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation
Ning Liu, Yue Yu, ... (+2 more)
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cs.LG
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32 |
3 years ago |
| 255 |
Scalable Spectral Clustering with Group Fairness Constraints
Ji Wang, Ding Lu, ... (+2 more)
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cs.LG
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32 |
3 years ago |
| 256 |
Calibrated Adaptive Probabilistic ODE Solvers
Nathanael Bosch, Philipp Hennig, Filip Tronarp
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math.NA
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31 |
5 years ago |
| 257 |
Deep Multi-Fidelity Active Learning of High-dimensional Outputs
Shibo Li, Robert M. Kirby, Shandian Zhe
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cs.LG
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31 |
5 years ago |
| 258 |
Online Sparse Reinforcement Learning
Botao Hao, Tor Lattimore, ... (+2 more)
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cs.LG
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31 |
5 years ago |
| 259 |
Efficient Greedy Coordinate Descent for Composite Problems
Sai Praneeth Karimireddy, Anastasia Koloskova, ... (+2 more)
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math.OC
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31 |
7 years ago |
| 260 |
Online Nonnegative Matrix Factorization with General Divergences
Renbo Zhao, Vincent Y. F. Tan, Huan Xu
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stat.ML
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31 |
9 years ago |
| 261 |
C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching
Daniel Ritchie, Andreas Stuhlmüller, Noah D. Goodman
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cs.AI
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31 |
10 years ago |
| 262 |
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems
Chendi Qian, Didier Chételat, Christopher Morris
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cs.LG
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30 |
2 years ago |
| 263 |
Adversarially Robust Estimate and Risk Analysis in Linear Regression
Yue Xing, Ruizhi Zhang, Guang Cheng
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stat.ML
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30 |
5 years ago |
| 264 |
Fast Noise Removal for $k$-Means Clustering
Sungjin Im, Mahshid Montazer Qaem, ... (+3 more)
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cs.DS
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6 years ago |
| 265 |
Minimax-optimal semi-supervised regression on unknown manifolds
Amit Moscovich, Ariel Jaffe, Boaz Nadler
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stat.ML
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30 |
9 years ago |
| 266 |
Maximum entropy GFlowNets with soft Q-learning
Sobhan Mohammadpour, Emmanuel Bengio, ... (+2 more)
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cs.LG
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30 |
2 years ago |
| 267 |
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
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stat.ML
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29 |
5 years ago |
| 268 |
Sharp Asymptotics and Optimal Performance for Inference in Binary Models
Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis
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math.ST
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29 |
6 years ago |
| 269 |
Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation
Jian Zhang, Avner May, ... (+2 more)
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cs.LG
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29 |
7 years ago |
| 270 |
Active Ranking with Subset-wise Preferences
Aadirupa Saha, Aditya Gopalan
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cs.LG
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29 |
7 years ago |
| 271 |
Learning One-hidden-layer Neural Networks under General Input Distributions
Weihao Gao, Ashok Vardhan Makkuva, ... (+2 more)
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cs.LG
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29 |
7 years ago |
| 272 |
A Sub-Quadratic Exact Medoid Algorithm
James Newling, François Fleuret
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stat.ML
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29 |
10 years ago |
| 273 |
Information-theoretic limits of Bayesian network structure learning
Asish Ghoshal, Jean Honorio
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cs.LG
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29 |
10 years ago |
| 274 |
Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA
Chun-Liang Li, Hsuan-Tien Lin, Chi-Jen Lu
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stat.ML
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29 |
10 years ago |
| 275 |
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
Yann Fraboni, Martin Van Waerebeke, ... (+4 more)
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cs.LG
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29 |
3 years ago |
| 276 |
Convergence Properties of Stochastic Hypergradients
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
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stat.ML
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28 |
5 years ago |
| 277 |
Abstract Value Iteration for Hierarchical Reinforcement Learning
Kishor Jothimurugan, Osbert Bastani, Rajeev Alur
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cs.LG
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28 |
5 years ago |
| 278 |
Safe-Bayesian Generalized Linear Regression
Rianne de Heide, Alisa Kirichenko, ... (+2 more)
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math.ST
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28 |
6 years ago |
| 279 |
Robust descent using smoothed multiplicative noise
Matthew J. Holland
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stat.ML
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28 |
7 years ago |
| 280 |
Two-temperature logistic regression based on the Tsallis divergence
Ehsan Amid, Manfred K. Warmuth, Sriram Srinivasan
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cs.LG
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28 |
9 years ago |
| 281 |
Learning Determinantal Point Processes in Sublinear Time
Christophe Dupuy, Francis Bach
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stat.ML
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28 |
9 years ago |
| 282 |
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
Chen Dun, Mirian Hipolito, ... (+3 more)
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cs.LG
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28 |
3 years ago |
| 283 |
Online Forgetting Process for Linear Regression Models
Yuantong Li, Chi-hua Wang, Guang Cheng
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stat.ML
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27 |
5 years ago |
| 284 |
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms
Tengyu Xu, Yingbin Liang
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cs.LG
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27 |
5 years ago |
| 285 |
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
Chaoqi Wang, Shengyang Sun, Roger Grosse
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cs.LG
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27 |
5 years ago |
| 286 |
Mirror Descent View for Neural Network Quantization
Thalaiyasingam Ajanthan, Kartik Gupta, ... (+3 more)
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🌅
Old Age
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cs.LG
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27 |
6 years ago |
| 287 |
Learning Rate Adaptation for Federated and Differentially Private Learning
Antti Koskela, Antti Honkela
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stat.ML
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27 |
7 years ago |
| 288 |
Risk-Sensitive Generative Adversarial Imitation Learning
Jonathan Lacotte, Mohammad Ghavamzadeh, ... (+2 more)
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cs.LG
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27 |
7 years ago |
| 289 |
Online Optimization of Smoothed Piecewise Constant Functions
Vincent Cohen-Addad, Varun Kanade
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cs.LG
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27 |
10 years ago |
| 290 |
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow
Youssef Mroueh, Truyen Nguyen
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cs.LG
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26 |
5 years ago |
| 291 |
Multitask Bandit Learning Through Heterogeneous Feedback Aggregation
Zhi Wang, Chicheng Zhang, ... (+3 more)
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cs.LG
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26 |
5 years ago |
| 292 |
Tensorized Random Projections
Beheshteh T. Rakhshan, Guillaume Rabusseau
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cs.LG
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26 |
6 years ago |
| 293 |
A Random Matrix Perspective on Mixtures of Nonlinearities for Deep Learning
Ben Adlam, Jake Levinson, Jeffrey Pennington
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stat.ML
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26 |
6 years ago |
| 294 |
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces
David Alvarez-Melis, Youssef Mroueh, Tommi S. Jaakkola
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cs.LG
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26 |
6 years ago |
| 295 |
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models
Yuan Zhou, Bradley J. Gram-Hansen, ... (+4 more)
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cs.LG
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26 |
7 years ago |
| 296 |
Learning Structural Weight Uncertainty for Sequential Decision-Making
Ruiyi Zhang, Chunyuan Li, ... (+2 more)
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stat.ML
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26 |
8 years ago |
| 297 |
Convergence rate of stochastic k-means
Cheng Tang, Claire Monteleoni
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cs.LG
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26 |
9 years ago |
| 298 |
Accelerated Stochastic Gradient Descent for Minimizing Finite Sums
Atsushi Nitanda
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stat.ML
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26 |
10 years ago |
| 299 |
Faithful Heteroscedastic Regression with Neural Networks
Andrew Stirn, Hans-Hermann Wessels, ... (+4 more)
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cs.LG
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26 |
3 years ago |
| 300 |
Incentive-aware Contextual Pricing with Non-parametric Market Noise
Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang
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cs.LG
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25 |
6 years ago |