JB
Jose Blanchet
cs.LGstat.MLmath.PRmath.OCmath.STstat.THstat.MEstat.COcs.AIcs.NA
On Valency
published · living versionsW_avqtffc2·v1 · currentpublished
Frequency-Uniform Log-Regret Reinforcement Learning for Diffusions
with Lutong Hao, Renyuan Xu
1 version
W_vmwtyhg2·v2published
Preprints & journals
196 papers in the corpus · 2008–2026Exact Simulation of Multivariate Diffusions and Bridges2610.11330v1 · Jose Blanchet, Jikai Jin, Hao Liu2026 · 0 citationsarXiv
Regret-Optimal Linear-Quadratic Control under Distributional Drift2610.09220v1 · Lukas-Benedikt Fiechtner, Jose Blanchet2026 · 0 citationsarXiv
Quenched First-Passage Asymptotics for Branching Random Walk on a Hamming Cube2610.06757v1 · Jose Blanchet, Zhenyuan Zhang2026 · 0 citationsarXiv
Strategic Index Reconstitution: Differential Games, Closed-Loop Equilibria and Mean-Field Dynamics2609.15901v2 · Lukas-Benedikt Fiechtner, Jose Blanchet2026 · 0 citationsarXiv
Extending Subsampling to Sequential Stopping2609.00717v1 · Jose Blanchet, Peter Glynn, Wenhao Yang2026 · 0 citationsarXiv
There and Back Again: Bidirectional Diffusion Bridges for Multimodality Translation2608.27885v1 · Gabe Guo, Elon Litman, Thanawat Sornwanee et al.2026 · 0 citationsarXiv
Sobolev Regularized Score Difference Estimation in Diffusion Models2608.18237v2 · Chenghan Xie, Jose Blanchet, Renyuan Xu2026 · 0 citationsarXiv
Optimal Watermark Localization in Mixed-Source Large Language Model Texts2608.14906v2 · Jose H. Blanchet, T. Tony Cai, Xiang Li et al.2026 · 0 citationsarXiv
A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-Training2607.04574v2 · Junze Ye, Jiayi Cheng, Miao Lu et al.2026 · 0 citationsarXiv
Lipschitz Regularity in Wasserstein Robust Stochastic Optimal Control2606.28633v1 · Shengbo Wang, Jose Blanchet2026 · 0 citationsarXiv
INFUSER: Influence-Guided Self-Evolution Improves Reasoning2606.09052v5 · Siyu Chen, Miao Lu, Beining Wu et al.2026 · 0 citationsarXiv
Statistical Inference for Stochastic Gradient Descent: Beyond Finite Variance2605.26000v2 · Jose Blanchet, Peter Glynn, Wenhao Yang2026 · 0 citationsarXiv
Fast Convergence of Policy Regret in Learning Stochastic Optimal Control2605.26361v1 · Shengbo Wang, Jose Blanchet, Peter Glynn2026 · 0 citationsarXiv
Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures2605.17850v1 · Chenyang Wang, Weizhong Wang, Yinuo Ren et al.2026 · 0 citationsarXiv
TERMS-Bench: Diagnosing LLM Negotiation Agents Beyond Deal Rate2605.13909v2 · Erica Zhang, Fangzhao Zhang, Aneesh Pappu et al.2026 · 0 citationsarXiv
ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space2604.27443v3 · Gabe Guo, Thanawat Sornwanee, Lutong Hao et al.2026 · 0 citationsarXiv
Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback2605.00155v4 · Yikai Wang, Shang Liu, Jose Blanchet2026 · 0 citationsarXiv
Optimal Online and Offline Algorithms for Contextual MNL with Applications to Assortment and Pricing2604.19008v1 · Yunfan Zhang, Yuxuan Han, Hongyu Shan et al.2026 · 0 citationsarXiv
Partial Identification of Policy-Relevant Treatment Effects with Instrumental Variables via Optimal Transport2604.12263v2 · Jiyuan Tan, Jose Blanchet, Vasilis Syrgkanis2026 · 0 citationsarXiv
Classical and Quantum Speedups for Non-Convex Optimization via Energy Conserving Descent2604.13022v2 · Yihang Sun, Huaijin Wang, Patrick Hayden et al.2026 · 0 citationsarXiv
Distributionally Robust Regret Optimal LQR with Common Stage-Law Ambiguity2604.06158v3 · Lukas-Benedikt Fiechtner, Jose Blanchet2026 · 0 citationsarXiv
Viral Quasispecies Evolution as a Branching Random Walk on the Hypercube2603.27140v1 · Jose Blanchet, Zhenyuan Zhang2026 · 0 citationsarXiv
When Should Humans Step In? Optimal Human Dispatching in AI-Assisted Decisions2603.13688v2 · Lezhi Tan, Naomi Sagan, Lihua Lei et al.2026 · 0 citationsarXiv
Statistical Inference in Causal Partial Identification with Smooth Densities2602.20681v1 · Sirui Lin, Zijun Gao, Jose Blanchet et al.2026 · 0 citationsarXiv
Robust Assortment Optimization from Observational Data2602.10696v3 · Miao Lu, Yuxuan Han, Han Zhong et al.2026 · 0 citationsarXiv
Optimal Quantum Speedups for Repeatedly Nested Expectation Estimation2602.08120v2 · Yihang Sun, Guanyang Wang, Jose Blanchet2026 · 0 citationsarXiv
Score-based Metropolis-Hastings for Fractional Langevin Algorithms2602.00835v1 · Ahmed Aloui, Junyi Liao, Ali Hasan et al.2026 · 0 citationsarXiv
Learning When to Trust LLM Priors: A Validated Framework for Semantic Prior Integration2601.21410v3 · Erica Zhang, Naomi Sagan, Danny Tse et al.2026 · 0 citationsarXiv
FutureX-Pro: Extending Future Prediction to High-Value Vertical Domains2601.12259v1 · Jiashuo Liu, Siyuan Chen, Zaiyuan Wang et al.2026 · 0 citationsarXiv
Multi-agent learning under uncertainty: Recurrence vs. concentration2512.08132v1 · Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos et al.2025 · 0 citationsarXiv
Robust equilibria in continuous games: From strategic to dynamic robustness2512.08138v1 · Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos et al.2025 · 0 citationsarXiv
Bayesian Distributionally Robust Merton Problem with Nonlinear Wasserstein Projections2512.01408v2 · Jose Blanchet, Jiayi Cheng, Hao Liu et al.2025 · 0 citationsarXiv
Approximate Least-Favorable Distributions and Nearly Optimal Tests via Stochastic Mirror Descent2511.16925v1 · Andr'es Aradillas Fern'andez, Jos'e Blanchet, Jos'e Luis Montiel Olea et al.2025 · 0 citationsarXiv
Connecting Quantum Computing with Classical Stochastic Simulation2509.18614v1 · Jose Blanchet, Mark S. Squillante, Mario Szegedy et al.2025 · 0 citationsarXiv
Epsilon-Minimax Solutions of Statistical Decision Problems2509.08107v2 · Andr'es Aradillas Fern'andez, Jos'e Blanchet, Jos'e Luis Montiel Olea et al.2025 · 0 citationsarXiv
Deep Learning for Markov Chains: Lyapunov Functions, Poisson's Equation, and Stationary Distributions2508.16737v1 · Yanlin Qu, Jose Blanchet, Peter Glynn2025 · 0 citationsarXiv
FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction2508.11987v3 · Zhiyuan Zeng, Jiashuo Liu, Siyuan Chen et al.2025 · 1 citationarXiv
Duality and Policy Evaluation in Distributionally Robust Bayesian Diffusion Control2506.19294v4 · Jose Blanchet, Jiayi Cheng, Yuewei Ling et al.2025 · 0 citationsarXiv
Large Deviations of First Passage Times of Branching Random Walks in : Asymptotics and Algorithms2506.15072v2 · Jose Blanchet, Wei Cai, Shaswat Mohanty et al.2025 · 0 citationsarXiv
Estimation of Treatment Effects in Extreme and Unobserved Data2506.14051v1 · Jiyuan Tan, Jose Blanchet, Vasilis Syrgkanis2025 · 0 citationsarXiv
Causal Partial Identification via Conditional Optimal Transport2506.00257v2 · Sirui Lin, Zijun Gao, Jose Blanchet et al.2025 · 0 citationsarXiv
DRO: A Python Library for Distributionally Robust Optimization in Machine Learning2505.23565v1 · Jiashuo Liu, Tianyu Wang, Henry Lam et al.2025 · 0 citationsarXiv
Testing Fairness with Utility Tradeoffs: A Wasserstein Projection Approach2505.11678v4 · Yan Chen, Zheng Tan, Jose Blanchet et al.2025 · 0 citationsarXiv
Wasserstein Distributionally Robust Regret Optimization2504.10796v5 · Lukas-Benedikt Fiechtner, Jose Blanchet2025 · 0 citationsarXiv
Sample Path Large Deviations for Multivariate Heavy-Tailed Hawkes Processes and Related Lévy Processes2504.01119v2 · Jose Blanchet, Roger J. A. Laeven, Xingyu Wang et al.2025 · 0 citationsarXiv
Tail Asymptotics of Cluster Sizes in Multivariate Heavy-Tailed Hawkes Processes2503.01004v3 · Jose Blanchet, Roger J. A. Laeven, Xingyu Wang et al.2025 · 0 citationsarXiv
Why is the strength of an elastomeric polymer network so low?2502.11339v2 · Shaswat Mohanty, Jose Blanchet, Zhigang Suo et al.2025 · 2 citationsarXiv
LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization2502.10648v3 · Erica Zhang, Ryunosuke Goto, Naomi Sagan et al.2025 · 2 citationsarXiv
Learning an Optimal Assortment Policy under Observational Data2502.06777v4 · Yuxuan Han, Han Zhong, Miao Lu et al.2025 · 0 citationsarXiv
Quantum speedup of non-linear Monte Carlo problems2502.05094v2 · Jose Blanchet, Yassine Hamoudi, Mario Szegedy et al.2025 · 0 citationsProceedings of the 39th Conference on Neural Information Processing Systems (NeurIPS), 2025
Career total: 384 works. 196 are in this corpus.Showing the 50 most recent.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.