MatRL: Provably Generalizable Iterative Algorithm Discovery via Monte-Carlo Tree Search
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Sungyoon, Dwaraknath, Rajat Vadiraj, geng, Longling, Pilanci, Mert |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FlashSketch: Sketch-Kernel Co-Design for Fast Sparse Sketching on GPUs
by: Dwaraknath, Rajat Vadiraj, et al.
Published: (2026)
by: Dwaraknath, Rajat Vadiraj, et al.
Published: (2026)
Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time
by: Kim, Sungyoon, et al.
Published: (2024)
by: Kim, Sungyoon, et al.
Published: (2024)
Exploring the loss landscape of regularized neural networks via convex duality
by: Kim, Sungyoon, et al.
Published: (2024)
by: Kim, Sungyoon, et al.
Published: (2024)
Sampling on Metric Graphs
by: Dwaraknath, Rajat Vadiraj, et al.
Published: (2025)
by: Dwaraknath, Rajat Vadiraj, et al.
Published: (2025)
Flash-SD-KDE: Accelerating SD-KDE with Tensor Cores
by: Epstein, Elliot L., et al.
Published: (2026)
by: Epstein, Elliot L., et al.
Published: (2026)
Randomized Geometric Algebra Methods for Convex Neural Networks
by: Wang, Yifei, et al.
Published: (2024)
by: Wang, Yifei, et al.
Published: (2024)
Optimizer-Induced Mode Connectivity: From AdamW to Muon
by: Zhang, Fangzhao, et al.
Published: (2026)
by: Zhang, Fangzhao, et al.
Published: (2026)
From Complexity to Clarity: Analytical Expressions of Deep Neural Network Weights via Clifford's Geometric Algebra and Convexity
by: Pilanci, Mert
Published: (2023)
by: Pilanci, Mert
Published: (2023)
Convex Distillation: Efficient Compression of Deep Networks via Convex Optimization
by: Varshney, Prateek, et al.
Published: (2024)
by: Varshney, Prateek, et al.
Published: (2024)
BWLer: Barycentric Weight Layer Elucidates a Precision-Conditioning Tradeoff for PINNs
by: Liu, Jerry, et al.
Published: (2025)
by: Liu, Jerry, et al.
Published: (2025)
Optimal Sets and Solution Paths of ReLU Networks
by: Mishkin, Aaron, et al.
Published: (2023)
by: Mishkin, Aaron, et al.
Published: (2023)
Black Boxes and Looking Glasses: Multilevel Symmetries, Reflection Planes, and Convex Optimization in Deep Networks
by: Zeger, Emi, et al.
Published: (2024)
by: Zeger, Emi, et al.
Published: (2024)
Optimal Scalar Quantization for Matrix Multiplication: Closed-Form Density and Phase Transition
by: Ang, Calvin, et al.
Published: (2026)
by: Ang, Calvin, et al.
Published: (2026)
Analyzing Neural Network-Based Generative Diffusion Models through Convex Optimization
by: Zhang, Fangzhao, et al.
Published: (2024)
by: Zhang, Fangzhao, et al.
Published: (2024)
Unveiling Hidden Convexity in Deep Learning: a Sparse Signal Processing Perspective
by: Zeger, Emi, et al.
Published: (2026)
by: Zeger, Emi, et al.
Published: (2026)
Spectral Adapter: Fine-Tuning in Spectral Space
by: Zhang, Fangzhao, et al.
Published: (2024)
by: Zhang, Fangzhao, et al.
Published: (2024)
Localizing Memorized Regions in Diffusion Models via Coordinate-Wise Curvature Differences
by: Kim, Gwangho, et al.
Published: (2026)
by: Kim, Gwangho, et al.
Published: (2026)
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning
by: Xie, Yuxi, et al.
Published: (2024)
by: Xie, Yuxi, et al.
Published: (2024)
Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
by: Zhang, Erica, et al.
Published: (2024)
by: Zhang, Erica, et al.
Published: (2024)
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers
by: Tzikas, Alexandros E., et al.
Published: (2024)
by: Tzikas, Alexandros E., et al.
Published: (2024)
An Efficient Algorithm for Thresholding Monte Carlo Tree Search
by: Nameki, Shoma, et al.
Published: (2026)
by: Nameki, Shoma, et al.
Published: (2026)
Adversarial Training of Two-Layer Polynomial and ReLU Activation Networks via Convex Optimization
by: Kuelbs, Daniel, et al.
Published: (2024)
by: Kuelbs, Daniel, et al.
Published: (2024)
Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
by: Zhang, Fangzhao, et al.
Published: (2024)
by: Zhang, Fangzhao, et al.
Published: (2024)
A Recovery Guarantee for Sparse Neural Networks
by: Fridovich-Keil, Sara, et al.
Published: (2025)
by: Fridovich-Keil, Sara, et al.
Published: (2025)
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
by: Mishkin, Aaron, et al.
Published: (2022)
by: Mishkin, Aaron, et al.
Published: (2022)
High-Order Langevin Monte Carlo Algorithms
by: Dang, Thanh, et al.
Published: (2025)
by: Dang, Thanh, et al.
Published: (2025)
Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling
by: Gürbüzbalaban, Mert, et al.
Published: (2022)
by: Gürbüzbalaban, Mert, et al.
Published: (2022)
Thinking While Listening: Simple Test Time Scaling For Audio Classification
by: Verma, Prateek, et al.
Published: (2025)
by: Verma, Prateek, et al.
Published: (2025)
Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization
by: Schramm, Liam, et al.
Published: (2024)
by: Schramm, Liam, et al.
Published: (2024)
Adaptive Large Language Models By Layerwise Attention Shortcuts
by: Verma, Prateek, et al.
Published: (2024)
by: Verma, Prateek, et al.
Published: (2024)
Towards Signal Processing In Large Language Models
by: Verma, Prateek, et al.
Published: (2024)
by: Verma, Prateek, et al.
Published: (2024)
Faster Convergence of Stochastic Accelerated Gradient Descent under Interpolation
by: Mishkin, Aaron, et al.
Published: (2024)
by: Mishkin, Aaron, et al.
Published: (2024)
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
by: Feng, Miria, et al.
Published: (2024)
by: Feng, Miria, et al.
Published: (2024)
Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation
by: Kim, Juno, et al.
Published: (2025)
by: Kim, Juno, et al.
Published: (2025)
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo
by: Ishfaq, Haque, et al.
Published: (2023)
by: Ishfaq, Haque, et al.
Published: (2023)
AdaPTwin: Low-Cost Adaptive Compression of Product Twins in Transformers
by: Biju, Emil, et al.
Published: (2024)
by: Biju, Emil, et al.
Published: (2024)
Large Language Models Implicitly Learn to See and Hear Just By Reading
by: Verma, Prateek, et al.
Published: (2025)
by: Verma, Prateek, et al.
Published: (2025)
Convex Optimization for Alignment and Preference Learning on a Single GPU
by: Feng, Miria, et al.
Published: (2026)
by: Feng, Miria, et al.
Published: (2026)
Adaptive Inference: Theoretical Limits and Unexplored Opportunities
by: Hor, Soheil, et al.
Published: (2024)
by: Hor, Soheil, et al.
Published: (2024)
SD-KDE: Score-Debiased Kernel Density Estimation
by: Epstein, Elliot L., et al.
Published: (2025)
by: Epstein, Elliot L., et al.
Published: (2025)
Similar Items
-
FlashSketch: Sketch-Kernel Co-Design for Fast Sparse Sketching on GPUs
by: Dwaraknath, Rajat Vadiraj, et al.
Published: (2026) -
Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time
by: Kim, Sungyoon, et al.
Published: (2024) -
Exploring the loss landscape of regularized neural networks via convex duality
by: Kim, Sungyoon, et al.
Published: (2024) -
Sampling on Metric Graphs
by: Dwaraknath, Rajat Vadiraj, et al.
Published: (2025) -
Flash-SD-KDE: Accelerating SD-KDE with Tensor Cores
by: Epstein, Elliot L., et al.
Published: (2026)