💀 The Wall of Shame

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

Page 1

# Paper Cause of Death Category Citations Published
1 Stationary Robust Mean-Field Games under Model Mismatches
Yue Wang
cs.LG 0 2 months ago
2 Bayesian Adaptation Gym: A Benchmark for the Bayesian Low-Rank Adaptation of Multi-Modal Language Models
Colin Samplawski, Ramneet Kaur, ... (+3 more)
cs.LG 0 2 months ago
3 Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees
Ryohei Oura, Georgios Fainekos, ... (+2 more)
cs.AI 0 2 months ago
4 Privacy-Preserving Robustness Verification for Neural Networks
Nianyun Song, Xiaokun Luan, ... (+4 more)
cs.CR 0 2 months ago
5 On Pairwise Quantile Regression -- Statistical Guarantees and Applications
Romain Thérézien, Stephan Clémençon, ... (+2 more)
stat.ML 0 2 months ago
6 Poisson-Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs
Nan Fang, Yijun Wang, ... (+2 more)
cs.LG 0 2 months ago
7 On the Convergence of Self-Improving Online LLM Alignment
Xudong Wu, Pangpang Liu, ... (+2 more)
cs.LG 0 2 months ago
8 Relaxing Faithfulness with Intervention-Only Causal Discovery
Bijan Mazaheri, Jiaqi Zhang, Caroline Uhler
cs.LG 0 2 months ago
9 Hierarchical Bayesian Quadrature
Tim Weiland, Toni Karvonen, Philipp Hennig
cs.LG 0 2 months ago
10 Model Agnostic Graph Prompt Learning for Crystal Property Prediction
Shrimon Mukherjee, Kishalay Das, ... (+3 more)
cs.LG 0 2 months ago
11 Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability
Amir Asiaee
cs.LG 0 2 months ago
12 Bayesian Experimental Design via Score Matching
Angus Phillips, Gavin Kerrigan, Tom Rainforth
stat.ML 0 2 months ago
13 Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration
Amir Asiaee, Kaveh Aryan
cs.LG 0 2 months ago
14 Vanilla SGD with Momentum Survives Heavy-Tailed Noise: Convergence Analysis without Gradient Clipping or Normalization
Ryusei Yamada, Naoki Sato, Hideaki Iiduka
cs.LG 0 2 months ago
15 From Bayes' Rule to Bayes Rules: Optimal Information Processing and Axiomatic Foundations Beyond Probability
Jeremie Houssineau, Badr-Eddine Chérief-Abdellatif
math.ST 0 2 months ago
16 A Characterization of the Orthocomplement of the Tangent Space of Semiparametric Markov Models
Trung Phung, Ilya Shpitser
stat.ME 0 1 month ago
17 Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement
Guoming Li, Jian Yang, ... (+4 more)
cs.LG 0 1 month ago
18 Long-Term Sequential Decision Making under Risk
Irmaan, Mirzanejad, ... (+2 more)
cs.AI 0 1 month ago
19 Scalable Model-Assisted Multi-Target Estimation in Large Image Collections
Max Hamilton, Jinlin Lai, ... (+2 more)
cs.CV 0 1 month ago
20 Analytic Planning under Uncertainty with Moment Closure
Shishir Sharma, Doina Precup
cs.LG 0 1 month ago
21 The Convergence Behavior of Adam under Heavy-Tailed Noise
Yijiang Pang
cs.LG 0 1 month ago
22 High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption
Loong Kuan Lee, Ragavi Krishnamoorthy, Nico Piatkowski
cs.LG 0 1 month ago
23 Bayesian Symbolic Regression with Entropic Reinforcement Learning
Oussama Boussif, Mohammed Mahfoud, ... (+7 more)
cs.LG 0 1 month ago
24 Interpretable Causal Discovery via Causal-Effect Constraints
Cixuan Zhang, Guy Van den Broeck, Benjie Wang
cs.LG 0 1 month ago
25 Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry
Sumedh Vemuganti, Nickvash Kani
cs.LG 0 1 month ago
26 Robust Risk Under Evolving Uncertainty: A Wasserstein Counterpart of the Entropic Value-at-Risk
Deep Kumar Ganguly, Jan Křetínský
cs.AI 0 27 days ago