Summary of From Zero to Hero: How Local Curvature at Artless Initial Conditions Leads Away From Bad Minima, by Tony Bonnaire et al.
From Zero to Hero: How local curvature at artless initial conditions leads away from bad…
Summary of Randomized Approach to Matrix Completion: Applications in Collaborative Filtering and Image Inpainting, by Antonina Krajewska and Ewa Niewiadomska-szynkiewicz
Randomized Approach to Matrix Completion: Applications in Collaborative Filtering and Image Inpaintingby Antonina Krajewska, Ewa…
Summary of Error Bounds For Particle Gradient Descent, and Extensions Of the Log-sobolev and Talagrand Inequalities, by Rocco Caprio et al.
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalitiesby Rocco…
Summary of A Prediction Rigidity Formalism For Low-cost Uncertainties in Trained Neural Networks, by Filippo Bigi et al.
A prediction rigidity formalism for low-cost uncertainties in trained neural networksby Filippo Bigi, Sanggyu Chong,…
Summary of Soft-constrained Schrodinger Bridge: a Stochastic Control Approach, by Jhanvi Garg et al.
Soft-constrained Schrodinger Bridge: a Stochastic Control Approachby Jhanvi Garg, Xianyang Zhang, Quan ZhouFirst submitted to…
Summary of How Multimodal Integration Boost the Performance Of Llm For Optimization: Case Study on Capacitated Vehicle Routing Problems, by Yuxiao Huang et al.
How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle…
Summary of Reward Model Learning Vs. Direct Policy Optimization: a Comparative Analysis Of Learning From Human Preferences, by Andi Nika et al.
Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferencesby Andi…
Summary of Locally Convex Global Loss Network For Decision-focused Learning, by Haeun Jeon et al.
Locally Convex Global Loss Network for Decision-Focused Learningby Haeun Jeon, Hyunglip Bae, Minsu Park, Chanyeong…
Summary of Fast Benchmarking Of Asynchronous Multi-fidelity Optimization on Zero-cost Benchmarks, by Shuhei Watanabe and Neeratyoy Mallik and Edward Bergman and Frank Hutter
Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarksby Shuhei Watanabe, Neeratyoy Mallik, Edward Bergman,…
Summary of Towards Provable Log Density Policy Gradient, by Pulkit Katdare et al.
Towards Provable Log Density Policy Gradientby Pulkit Katdare, Anant Joshi, Katherine Driggs-CampbellFirst submitted to arxiv…