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Poster
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction
Dilip Arumugam · Satinder Singh
Poster
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent
Christopher De Sa · Satyen Kale · Jason Lee · Ayush Sekhari · Karthik Sridharan
Poster
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting
Tomasz Korbak · Hady Elsahar · Germán Kruszewski · Marc Dymetman
Poster
Explicable Policy Search
Ze Gong · Yu Zhang
Poster
A Practical, Progressively-Expressive GNN
Lingxiao Zhao · Neil Shah · Leman Akoglu
Poster
Learning the Structure of Large Networked Systems Obeying Conservation Laws
Anirudh Rayas · Rajasekhar Anguluri · Gautam Dasarathy
Poster
Adaptive Interest for Emphatic Reinforcement Learning
Martin Klissarov · Rasool Fakoor · Jonas Mueller · Kavosh Asadi · Taesup Kim · Alexander Smola
Poster
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators
Scott Lowe · Robert Earle · Jason d'Eon · Thomas Trappenberg · Sageev Oore
Poster
Certifying Some Distributional Fairness with Subpopulation Decomposition
Mintong Kang · Linyi Li · Maurice Weber · Yang Liu · Ce Zhang · Bo Li
Poster
Accelerating Certified Robustness Training via Knowledge Transfer
Pratik Vaishnavi · Kevin Eykholt · Amir Rahmati
Poster
AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness
Dacheng Li · Hongyi Wang · Eric Xing · Hao Zhang
Poster
Nonstationary Dual Averaging and Online Fair Allocation
Luofeng Liao · Yuan Gao · Christian Kroer