Philip S. Thomas

6 papers at tracked venues · 6 at CORE A* · active 2024–2025

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Venues

NeurIPS ×4 AAAI ×1 ICML ×1

Frequent coauthors

Bruno Castro da Silva

×4

Blossom Metevier

×2

Shreyas Chaudhari

×2

Scott M. Jordan

×2

Aline Weber

×1

Yuriy Brun

×1

Dennis Wei

×1

Karthikeyan Natesan Ramamurthy

×1

Yuhong Luo

×1

Austin Hoag

×1

Xintong Wang

×1

Przemyslaw A. Grabowicz

×1

Papers

Beyond Prediction: Managing the Repercussions of Machine Learning Applications
NeurIPS 2025 ·
Aline Weber
,
Blossom Metevier
,
Yuriy Brun
, Philip S. Thomas,
Bruno C. da Silva
Fair Continuous Resource Allocation with Equality of Impact
NeurIPS 2025 ·
Blossom Metevier
,
Dennis Wei
,
Karthikeyan Natesan Ramamurthy
, Philip S. Thomas
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
NeurIPS 2025 ·
Yuhong Luo
,
Austin Hoag
,
Xintong Wang
, Philip S. Thomas,
Przemyslaw A. Grabowicz
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation
NeurIPS 2024 ·
Shreyas Chaudhari
,
Ameet Deshpande
,
Bruno C. da Silva
, Philip S. Thomas
From Past to Future: Rethinking Eligibility Traces
AAAI 2024 ·
Dhawal Gupta
,
Scott M. Jordan
,
Shreyas Chaudhari
,
Bo Liu
, Philip S. Thomas,
Bruno Castro da Silva
Position: Benchmarking is Limited in Reinforcement Learning Research
ICML 2024 ·
Scott M. Jordan
,
Adam White
,
Bruno Castro da Silva
,
Martha White
, Philip S. Thomas