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Articles: 2'379'978
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01 October 2023
 
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Results 1 to 20 of 28 for query "Willie Neiswanger". (0.00 sec.)

[    1    2    ]   Next
1.
Near-optimal Policy Identification in Active Reinforcement Learning
Xiang Li; Viraj Mehta; Johannes Kirschner; Ian Char; Willie Neiswanger; Jeff Schneider; Andreas Krause; Ilija Bogunovic;
19 Dec 2022
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2.
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis
Yuxin Xiao; Paul Pu Liang; Umang Bhatt; Willie Neiswanger; Ruslan Salakhutdinov; Louis-Philippe Morency;
10 Oct 2022
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3.
Exploration via Planning for Information about the Optimal Trajectory
Viraj Mehta; Ian Char; Joseph Abbate; Rory Conlin; Mark D. Boyer; Stefano Ermon; Jeff Schneider; Willie Neiswanger;
6 Oct 2022
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4.
AutoML for Climate Change: A Call to Action
Renbo Tu; Nicholas Roberts; Vishak Prasad; Sibasis Nayak; Paarth Jain; Frederic Sala; Ganesh Ramakrishnan; Ameet Talwalkar; Willie Neiswanger; Colin White;
7 Oct 2022
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5.
Generalizing Bayesian Optimization with Decision-theoretic Entropies
Willie Neiswanger; Lantao Yu; Shengjia Zhao; Chenlin Meng; Stefano Ermon;
4 Oct 2022
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6.
Bayesian Algorithm Execution for Tuning Particle Accelerator Emittance with Partial Measurements
Sara A. Miskovich; Willie Neiswanger; William Colocho; Claudio Emma; Jacqueline Garrahan; Timothy Maxwell; Christopher Mayes; Stefano Ermon; Auralee Edelen; Daniel Ratner;
10 Sep 2022
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7.
Betty: An Automatic Differentiation Library for Multilevel Optimization
Sang Keun Choe; Willie Neiswanger; Pengtao Xie; Eric Xing;
5 Jul 2022
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8.
A General Recipe for Likelihood-free Bayesian Optimization
Jiaming Song; Lantao Yu; Willie Neiswanger; Stefano Ermon;
27 Jun 2022
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9.
Modular Conformal Calibration
Charles Marx; Shengjia Zhou; Willie Neiswanger; Stefano Ermon;
23 Jun 2022
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10.
Generative Modeling Helps Weak Supervision (and Vice Versa)
Benedikt Boecking; Willie Neiswanger; Nicholas Roberts; Stefano Ermon; Frederic Sala; Artur Dubrawski;
22 Mar 2022
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11.
An Experimental Design Perspective on Model-Based Reinforcement Learning
Viraj Mehta; Biswajit Paria; Jeff Schneider; Stefano Ermon; Willie Neiswanger;
10 Dec 2021
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12.
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification
Youngseog Chung; Ian Char; Han Guo; Jeff Schneider; Willie Neiswanger;
21 Sep 2021
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13.
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning
Yang Liu; Sujay Khandagale; Colin White; Willie Neiswanger;
23 Jun 2021
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14.
Amortized Auto-Tuning: Cost-Efficient Transfer Optimization for Hyperparameter Recommendation
Yuxin Xiao; Eric P. Xing; Willie Neiswanger;
17 Jun 2021
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15.
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
Willie Neiswanger; Ke Alexander Wang; Stefano Ermon;
19 Apr 2021
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16.
Computational catalyst discovery: Active classification through myopic multiscale sampling
Kevin Tran; Willie Neiswanger; Kirby Broderick; Erix Xing; Jeff Schneider; Zachary W. Ulissi;
2 Feb 2021
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17.
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
Benedikt Boecking; Willie Neiswanger; Eric Xing; Artur Dubrawski;
11 Dec 2020
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18.
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
Youngseog Chung; Willie Neiswanger; Ian Char; Jeff Schneider;
19 Nov 2020
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19.
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
Aurick Qiao; Willie Neiswanger; Qirong Ho; Hao Zhang; Gregory R. Ganger; Eric P. Xing;
27 Aug 2020
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20.
A Study on Encodings for Neural Architecture Search
Colin White; Willie Neiswanger; Sam Nolen; Yash Savani;
9 Jul 2020
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