Summary of Long-time Asymptotics Of Noisy Svgd Outside the Population Limit, by Victor Priser (s2a et al.
Long-time asymptotics of noisy SVGD outside the population limitby Victor Priser, Pascal Bianchi, Adil SalimFirst…
Summary of The Benefits and Risks Of Transductive Approaches For Ai Fairness, by Muhammed Razzak et al.
The Benefits and Risks of Transductive Approaches for AI Fairnessby Muhammed Razzak, Andreas Kirsch, Yarin…
Summary of Sparsity-constraint Optimization Via Splicing Iteration, by Zezhi Wang et al.
Sparsity-Constraint Optimization via Splicing Iterationby Zezhi Wang, Jin Zhu, Junxian Zhu, Borui Tang, Hongmei Lin,…
Summary of Stochastic Neural Network Symmetrisation in Markov Categories, by Rob Cornish
Stochastic Neural Network Symmetrisation in Markov Categoriesby Rob CornishFirst submitted to arxiv on: 17 Jun…
Summary of Learning Sum Of Diverse Features: Computational Hardness and Efficient Gradient-based Training For Ridge Combinations, by Kazusato Oko et al.
Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinationsby Kazusato…
Summary of Digirl: Training In-the-wild Device-control Agents with Autonomous Reinforcement Learning, by Hao Bai et al.
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learningby Hao Bai, Yifei Zhou, Mert Cemri,…
Summary of A Benchmark For Maximum Cut: Towards Standardization Of the Evaluation Of Learned Heuristics For Combinatorial Optimization, by Ankur Nath et al.
A Benchmark for Maximum Cut: Towards Standardization of the Evaluation of Learned Heuristics for Combinatorial…
Summary of To Clip or Not to Clip: the Dynamics Of Sgd with Gradient Clipping in High-dimensions, by Noah Marshall et al.
To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-Dimensionsby…
Summary of Compact Proofs Of Model Performance Via Mechanistic Interpretability, by Jason Gross et al.
Compact Proofs of Model Performance via Mechanistic Interpretabilityby Jason Gross, Rajashree Agrawal, Thomas Kwa, Euan…
Summary of Physics-constrained Learning For Pde Systems with Uncertainty Quantified Port-hamiltonian Models, by Kaiyuan Tan et al.
Physics-Constrained Learning for PDE Systems with Uncertainty Quantified Port-Hamiltonian Modelsby Kaiyuan Tan, Peilun Li, Thomas…