Summary of Learning-rate-free Stochastic Optimization Over Riemannian Manifolds, by Daniel Dodd et al.
Learning-Rate-Free Stochastic Optimization over Riemannian Manifoldsby Daniel Dodd, Louis Sharrock, Christopher NemethFirst submitted to arxiv…
Summary of Branches: Efficiently Seeking Optimal Sparse Decision Trees with Ao*, by Ayman Chaouki et al.
Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*by Ayman Chaouki, Jesse Read, Albert BifetFirst…
Summary of On the Limitations Of Fractal Dimension As a Measure Of Generalization, by Charlie B. Tan et al.
On the Limitations of Fractal Dimension as a Measure of Generalizationby Charlie B. Tan, Inés…
Summary of Moseac: Streamlined Variable Time Step Reinforcement Learning, by Dong Wang and Giovanni Beltrame
MOSEAC: Streamlined Variable Time Step Reinforcement Learningby Dong Wang, Giovanni BeltrameFirst submitted to arxiv on:…
Summary of Advancing Financial Risk Prediction Through Optimized Lstm Model Performance and Comparative Analysis, by Ke Xu et al.
Advancing Financial Risk Prediction Through Optimized LSTM Model Performance and Comparative Analysisby Ke Xu, Yu…
Summary of Superfast Selection For Decision Tree Algorithms, by Huaduo Wang and Gopal Gupta
Superfast Selection for Decision Tree Algorithmsby Huaduo Wang, Gopal GuptaFirst submitted to arxiv on: 31…
Summary of Enhancing Performance For Highly Imbalanced Medical Data Via Data Regularization in a Federated Learning Setting, by Georgios Tsoumplekas et al.
Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Settingby…
Summary of Ether: Efficient Finetuning Of Large-scale Models with Hyperplane Reflections, by Massimo Bini et al.
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflectionsby Massimo Bini, Karsten Roth, Zeynep Akata,…
Summary of Specdec++: Boosting Speculative Decoding Via Adaptive Candidate Lengths, by Kaixuan Huang et al.
SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengthsby Kaixuan Huang, Xudong Guo, Mengdi WangFirst submitted…
Summary of To Fp8 and Back Again: Quantifying the Effects Of Reducing Precision on Llm Training Stability, by Joonhyung Lee et al.
To FP8 and Back Again: Quantifying the Effects of Reducing Precision on LLM Training Stabilityby…