Carson Eisenach

18 papers A* 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
BRIDGE: Building Representations In Domain Guided Program Verification.
CoRR
Robert Joseph George, Carson Eisenach, Udaya Ghai, Dominique Perrault-Joncas, Anima Anandkumar, Dean P. Foster
2025 J jnl
Deep RL Dual Sourcing Inventory Management with Supply and Capacity Risk Awareness.
CoRR
Defeng Liu, Ying Liu, Carson Eisenach
2025 A* conf
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models.
ICLR
Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean P. Foster, Udaya Ghai
2025 J jnl
Outbound Modeling for Inventory Management.
CoRR
Riccardo Savorgnan, Udaya Ghai, Carson Eisenach, Dean P. Foster
2025 J jnl
Structure-Informed Deep Reinforcement Learning for Inventory Management.
CoRR
Alvaro Maggiar, Sohrab Andaz, Akhil Bagaria, Carson Eisenach, Dean P. Foster, Omer Gottesman, Dominique Perrault-Joncas
2024 J jnl
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models.
CoRR
Yuda Song, Hanlin Zhang, Carson Eisenach, Sham M. Kakade, Dean P. Foster, Udaya Ghai
2024 J jnl
Neural Coordination and Capacity Control for Inventory Management.
CoRR
Carson Eisenach, Udaya Ghai, Dhruv Madeka, Kari Torkkola, Dean P. Foster, Sham M. Kakade
2023 J jnl
Learning an Inventory Control Policy with General Inventory Arrival Dynamics.
CoRR
Sohrab Andaz, Carson Eisenach, Dhruv Madeka, Kari Torkkola, Randy Jia, Dean P. Foster, Sham M. Kakade
2022 J jnl
Deep Inventory Management.
CoRR
Dhruv Madeka, Kari Torkkola, Carson Eisenach, Dean P. Foster, Anna Luo
2022 J jnl
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation.
CoRR
Sitan Yang, Carson Eisenach, Dhruv Madeka
2020 J jnl
High-Dimensional Inference for Cluster-Based Graphical Models.
J. Mach. Learn. Res.
Carson Eisenach, Florentina Bunea, Yang Ning, Claudiu Dinicu
2020 J jnl
MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention.
CoRR
Carson Eisenach, Yagna Patel, Dhruv Madeka
2019 J jnl
Efficient, certifiably optimal clustering with applications to latent variable graphical models.
Math. Program.
Carson Eisenach, Han Liu
2019 — conf
Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications.
ICLR (Poster)
Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu
2019 — —
Modern Optimization for Statistics and Learning.
Carson Eisenach
2018 J jnl
Efficient, Certifiably Optimal High-Dimensional Clustering.
CoRR
Carson Eisenach, Han Liu
2018 J jnl
High-Dimensional Inference for Cluster-Based Graphical Models.
CoRR
Carson Eisenach, Florentina Bunea, Yang Ning, Claudiu Dinicu
2018 J jnl
Marginal Policy Gradients for Complex Control.
CoRR
Carson Eisenach, Haichuan Yang, Ji Liu, Han Liu
redb/extractors/macho_extractors/__init__.py
← Index redb/extractors/macho_extractors/__init__.py python 
# MachO extractors package

from .macho_features import MachOFeaturesExtractor
from .macho_segments import MachOSegmentExtractor
from .macho_imports import MachOImportExtractor
from .macho_exports import MachOExportExtractor
from .macho_dylibs import MachODylibExtractor
from .macho_signature import MachOSignatureExtractor
from .macho_similarity_hashes import MachOSimilarityHashExtractor
# MachOUniversalExtractor is deprecated - FAT binary relationships are now
# tracked via parent_sha256 column in redb_basic_properties
# from .macho_universal import MachOUniversalExtractor

__all__ = [
    'MachOFeaturesExtractor',
    'MachOSegmentExtractor',
    'MachOImportExtractor',
    'MachOExportExtractor',
    'MachODylibExtractor',
    'MachOSignatureExtractor',
    'MachOSimilarityHashExtractor',
    # 'MachOUniversalExtractor',  # Deprecated
]