💀 The Wall of Shame

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

Page 6, showing 50 papers

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