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Poster
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Thu 16:30
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Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
Zun Wang · Chang Liu · Nianlong Zou · He Zhang · Xinran Wei · Lin Huang · Lijun Wu · Bin Shao
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Workshop
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Jrystal: A JAX-based Differentiable Density Functional Theory Framework for Materials
Tianbo Li · Zekun Shi · Stephen Dale · Giovanni Vignale · Min Lin
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Workshop
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Sim2Real transfer for catalyst activity prediction
YUTA YAHAGI · Kiichi Obuchi · Fumihiko Kosaka · Kota Matsui
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Workshop
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Perovs-Dopants: Machine Learning Potentials for Doped Bulk Structures
Xiaoxiao Wang · Suehyun Park · Santiago Miret
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Poster
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Fri 11:00
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Testably Learning Polynomial Threshold Functions
Lucas Slot · Stefan Tiegel · Manuel Wiedmer
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Poster
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Wed 11:00
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Breaking the curse of dimensionality in structured density estimation
Robert A. Vandermeulen · Wai Ming Tai · Bryon Aragam
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Poster
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Thu 16:30
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Learning Social Welfare Functions
Kanad Pardeshi · Itai Shapira · Ariel Procaccia · Aarti Singh
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Poster
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Wed 16:30
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Nearly Optimal Approximation of Matrix Functions by the Lanczos Method
Noah Amsel · Tyler Chen · Anne Greenbaum · Cameron Musco · Christopher Musco
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Poster
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Fri 16:30
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Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation
Tian Xu · Zhilong Zhang · Ruishuo Chen · Yihao Sun · Yang Yu
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Workshop
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Misspecified Q -Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error
Ally Du · Lin Yang · Ruosong Wang
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Poster
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Wed 16:30
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On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries
Nirmit Joshi · Theodor Misiakiewicz · Nati Srebro
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Poster
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Thu 11:00
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On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation
Yuheng Zhang · Nan Jiang
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