💀 The Wall of Shame

The most cited papers with no code. Sorted by the weight of their sins.

Page 7, showing 50 papers

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