View PDF ↗
PDF Viewer
Open Full PDF

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Estimated $9K - $13K over 6-10 weeks.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.

References (31)

[1]
Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace Diagnostics
2026Ibne Farabi Shihab, Sanjeda Akter et al.
[2]
What Fundamental Structure in Reward Functions Enables Efficient Sparse-Reward Learning?
2025Ibne Farabi Shihab, Sanjeda Akter et al.
[3]
Detecting Proxy Gaming in RL and LLM Alignment via Evaluator Stress Tests
2025Ibne Farabi Shihab, Sanjeda Akter et al.
[4]
Diff-BBO: Diffusion-Based Inverse Modeling for Black-Box Optimization
2024D. Wu, Nikki Lijing Kuang et al.
[5]
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
2023Leonard Papenmeier, Luigi Nardi et al.
[6]
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation
2020A. Cowen-Rivers, Wenlong Lyu et al.
[7]
Bandit Algorithms
2020Tor Lattimore, Csaba Szepesvari
[8]
Scalable Global Optimization via Local Bayesian Optimization
2019David Eriksson, Michael Pearce et al.
[9]
A Tutorial on Thompson Sampling
2017Daniel Russo, Benjamin Van Roy et al.
[10]
Neural Architecture Search with Reinforcement Learning
2016Barret Zoph, Quoc V. Le
[11]
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
2016Lisha Li, Kevin G. Jamieson et al.
[12]
Optimal Best Arm Identification with Fixed Confidence
2016Aurélien Garivier, E. Kaufmann
[13]
Safe Exploration for Optimization with Gaussian Processes
2015Yanan Sui, Alkis Gotovos et al.
[14]
Handbook of Simulation Optimization
2014M. Fu
[15]
On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models
2014E. Kaufmann, O. Cappé et al.
[16]
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
2014José Miguel Hernández-Lobato, Matthew W. Hoffman et al.
[17]
Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting
2014Kevin G. Jamieson, R. Nowak
[18]
From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning
2014R. Munos
[19]
Stochastic Simultaneous Optimistic Optimization
2013Michal Valko, A. Carpentier et al.
[20]
Learning to Optimize via Posterior Sampling
2013Daniel Russo, Benjamin Van Roy

Showing 20 of 31 references

Founder's Pitch

"Optimize Lipschitz functions using Certificate-Guided Pruning for provable performance control under noisy evaluations."

Optimization AlgorithmsScore: 6View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

2/4 signals

5

Series A Potential

0/4 signals

0

Sources used for this analysis

arXiv Paper

Full-text PDF analysis of the research paper

GitHub Repository

Code availability, stars, and contributor activity

Citation Network

Semantic Scholar citations and co-citation patterns

Community Predictions

Crowd-sourced unicorn probability assessments

Analysis model: GPT-4o · Last scored: 1/28/2026

Explore the full citation network and related research.

7-day free trial. Cancel anytime.

Understand the commercial significance and market impact.

7-day free trial. Cancel anytime.

Get detailed profiles of the research team.

7-day free trial. Cancel anytime.