💀 The Wall of Shame

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

Page 5, showing 50 papers

# Paper Cause of Death Category Citations Published
201 Doubly Semi-Implicit Variational Inference
Dmitry Molchanov, Valery Kharitonov, ... (+2 more)
👻 Ghosted stat.ML 41 7 years ago
202 DUAL-LOCO: Distributing Statistical Estimation Using Random Projections
Christina Heinze, Brian McWilliams, Nicolai Meinshausen
👻 Ghosted stat.ML 40 10 years ago
203 An Optimization Approach to Learning Falling Rule Lists
Chaofan Chen, Cynthia Rudin
👻 Ghosted cs.LG 40 8 years ago
204 On Connecting Stochastic Gradient MCMC and Differential Privacy
Bai Li, Changyou Chen, ... (+2 more)
👻 Ghosted stat.ML 40 8 years ago
205 Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function
Wojciech Tarnowski, Piotr Warchoł, ... (+3 more)
👻 Ghosted stat.ML 40 7 years ago
206 Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Shikhar Vashishth, Prateek Yadav, ... (+2 more)
👻 Ghosted cs.LG 40 7 years ago
207 Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout
Xubo Yue, Raed Al Kontar
👻 Ghosted cs.LG 40 6 years ago
208 Decentralized Multi-player Multi-armed Bandits with No Collision Information
Chengshuai Shi, Wei Xiong, ... (+2 more)
👻 Ghosted cs.LG 40 6 years ago
209 Structured Robust Submodular Maximization: Offline and Online Algorithms
Alfredo Torrico, Mohit Singh, ... (+5 more)
👻 Ghosted cs.DS 39 8 years ago
210 IHT dies hard: Provable accelerated Iterative Hard Thresholding
Rajiv Khanna, Anastasios Kyrillidis
👻 Ghosted math.OC 39 8 years ago
211 Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks
Jinming Xu, Ye Tian, ... (+2 more)
👻 Ghosted math.OC 39 6 years ago
212 Online Model Selection for Reinforcement Learning with Function Approximation
Jonathan N. Lee, Aldo Pacchiano, ... (+3 more)
👻 Ghosted cs.LG 39 5 years ago
213 On the Privacy Risks of Algorithmic Recourse
Martin Pawelczyk, Himabindu Lakkaraju, Seth Neel
👻 Ghosted cs.LG 39 3 years ago
214 Streaming Kernel Principal Component Analysis
Mina Ghashami, Daniel Perry, Jeff M. Phillips
👻 Ghosted cs.DS 38 10 years ago
215 Local Group Invariant Representations via Orbit Embeddings
Anant Raj, Abhishek Kumar, ... (+3 more)
👻 Ghosted cs.LG 38 9 years ago
216 Multi-Attribute Bayesian Optimization With Interactive Preference Learning
Raul Astudillo, Peter I. Frazier
👻 Ghosted stat.ML 38 6 years ago
217 Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot
Prateek Jain, Chi Jin, ... (+2 more)
👻 Ghosted math.NA 37 10 years ago
218 Bayesian Approaches to Distribution Regression
Ho Chung Leon Law, Danica J. Sutherland, ... (+2 more)
👻 Ghosted stat.ML 37 9 years ago
219 Tensor Regression Meets Gaussian Processes
Rose Yu, Guangyu Li, Yan Liu
👻 Ghosted cs.LG 37 8 years ago
220 An Optimal Control Approach to Sequential Machine Teaching
Laurent Lessard, Xuezhou Zhang, Xiaojin Zhu
👻 Ghosted cs.LG 37 7 years ago
221 "Bring Your Own Greedy"+Max: Near-Optimal $1/2$-Approximations for Submodular Knapsack
Dmitrii Avdiukhin, Grigory Yaroslavtsev, Samson Zhou
👻 Ghosted cs.DS 37 6 years ago
222 Boosting Variational Inference: an Optimization Perspective
Francesco Locatello, Rajiv Khanna, ... (+2 more)
👻 Ghosted cs.LG 36 8 years ago
223 Spectral Algorithms for Computing Fair Support Vector Machines
Matt Olfat, Anil Aswani
👻 Ghosted cs.LG 36 8 years ago
224 Kernel Exponential Family Estimation via Doubly Dual Embedding
Bo Dai, Hanjun Dai, ... (+4 more)
👻 Ghosted cs.LG 36 7 years ago
225 Scalable Gaussian Process Variational Autoencoders
Metod Jazbec, Matthew Ashman, ... (+4 more)
👻 Ghosted stat.ML 36 5 years ago
226 Transforming Gaussian Processes With Normalizing Flows
Juan Maroñas, Oliver Hamelijnck, ... (+2 more)
👻 Ghosted cs.LG 36 5 years ago
227 Reconstructing Training Data from Model Gradient, Provably
Zihan Wang, Jason D. Lee, Qi Lei
👻 Ghosted cs.LG 36 3 years ago
228 Structured adaptive and random spinners for fast machine learning computations
Mariusz Bojarski, Anna Choromanska, ... (+7 more)
👻 Ghosted cs.LG 35 9 years ago
229 Comparison Based Nearest Neighbor Search
Siavash Haghiri, Debarghya Ghoshdastidar, Ulrike von Luxburg
👻 Ghosted stat.ML 35 9 years ago
230 Stochastic Multi-armed Bandits in Constant Space
David Liau, Eric Price, ... (+2 more)
👻 Ghosted cs.DS 35 8 years ago
231 Variational Rejection Sampling
Aditya Grover, Ramki Gummadi, ... (+3 more)
👻 Ghosted stat.ML 35 8 years ago
232 Risk-Averse Stochastic Convex Bandit
Adrian Rivera Cardoso, Huan Xu
👻 Ghosted cs.LG 35 7 years ago
233 Hierarchical Clustering for Euclidean Data
Moses Charikar, Vaggos Chatziafratis, ... (+2 more)
👻 Ghosted cs.DS 35 7 years ago
234 Momentum in Reinforcement Learning
Nino Vieillard, Bruno Scherrer, ... (+2 more)
👻 Ghosted cs.LG 35 6 years ago
235 Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference
Maxime Vandegar, Michael Kagan, ... (+2 more)
👻 Ghosted stat.ML 35 5 years ago
236 Offline Policy Selection under Uncertainty
Mengjiao Yang, Bo Dai, ... (+3 more)
👻 Ghosted cs.LG 35 5 years ago
237 On the Privacy Properties of GAN-generated Samples
Zinan Lin, Vyas Sekar, Giulia Fanti
👻 Ghosted cs.LG 35 3 years ago
238 Discovering Many Diverse Solutions with Bayesian Optimization
Natalie Maus, Kaiwen Wu, ... (+2 more)
👻 Ghosted cs.LG 35 3 years ago
239 Regression as Classification: Influence of Task Formulation on Neural Network Features
Lawrence Stewart, Francis Bach, ... (+2 more)
👻 Ghosted cs.LG 35 3 years ago
240 Projection-Free Bandit Convex Optimization
Lin Chen, Mingrui Zhang, Amin Karbasi
👻 Ghosted stat.ML 34 8 years ago
241 Optimal Noise-Adding Mechanism in Additive Differential Privacy
Quan Geng, Wei Ding, ... (+2 more)
👻 Ghosted cs.CR 34 7 years ago
242 PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming
Alexander K. Lew, Monica Agrawal, ... (+2 more)
👻 Ghosted cs.LG 34 5 years ago
243 Robust Imitation Learning from Noisy Demonstrations
Voot Tangkaratt, Nontawat Charoenphakdee, Masashi Sugiyama
👻 Ghosted stat.ML 34 5 years ago
244 Active Membership Inference Attack under Local Differential Privacy in Federated Learning
Truc Nguyen, Phung Lai, ... (+3 more)
👻 Ghosted cs.LG 34 3 years ago
245 Particle Gibbs with Ancestor Sampling for Probabilistic Programs
Jan-Willem van de Meent, Hongseok Yang, ... (+2 more)
👻 Ghosted stat.ML 33 11 years ago
246 Integrals over Gaussians under Linear Domain Constraints
Alexandra Gessner, Oindrila Kanjilal, Philipp Hennig
👻 Ghosted cs.LG 33 6 years ago
247 Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent
Frederik Kunstner, Raunak Kumar, Mark Schmidt
👻 Ghosted cs.LG 33 5 years ago
248 Can 5th Generation Local Training Methods Support Client Sampling? Yes!
Michał Grudzień, Grigory Malinovsky, Peter Richtárik
👻 Ghosted cs.LG 33 3 years ago
249 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
250 The Binary Space Partitioning-Tree Process
Xuhui Fan, Bin Li, Scott Anthony Sisson
👻 Ghosted stat.ML 32 7 years ago