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In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
Report
Kook, Yunbum
;
Vempala
, Santosh
S
.
;
Zhang, Matthew
S
.
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Calibrated Language Models Must Hallucinate
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Kalai, Adam Tauman
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S
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Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time
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Cao, Xinyuan
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Vempala
, Santosh
S
.
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Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling
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Kook, Yunbum
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Vempala
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.
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Computation with Sequences in a Model of the Brain
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Dabagia, Max
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Papadimitriou, Christos H.
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Is Planted Coloring Easier than Planted Clique?
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Kothari, Pravesh K.
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, Santosh
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.
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Wein, Alexander
S
.
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Xu, Jeff
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The Bit Complexity of Efficient Continuous Optimization
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Ghadiri, Mehrdad
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Peng, Richard
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Sampling with Barriers: Faster Mixing via Lewis Weights
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Gatmiry, Khashayar
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Kelner, Jonathan
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Vempala
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Beyond Moments: Robustly Learning Affine Transformations with Asymptotically Optimal Error
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Jia, He
;
Kothari, Pravesh K .
;
Vempala
, Santosh
S
.
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Condition-number-independent convergence rate of Riemannian Hamiltonian Monte Carlo with numerical integrators
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Kook, Yunbum
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Lee, Yin Tat
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Shen, Ruoqi
;
Vempala
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