Evan Becker

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Confidence Scores

Kernel Regression

Top Venues

Publications

Evan Becker, Stefano Soatto
Cycles of Thought: Measuring LLM Confidence through Stable Explanations. CoRR (2024)
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks. ACSSC (2023)
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks. CoRR (2023)
Evan Becker, Jingdong Gao, Ted Zadouri, Baharan Mirzasoleiman
High Probability Bounds for Stochastic Continuous Submodular Maximization. AISTATS (2023)
Evan Becker, Jingdong Gao, Ted Zadouri, Baharan Mirzasoleiman
High Probability Bounds for Stochastic Continuous Submodular Maximization. CoRR (2023)
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Instability and Local Minima in GAN Training with Kernel Discriminators. NeurIPS (2022)
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher
Instability and Local Minima in GAN Training with Kernel Discriminators. CoRR (2022)
Saman Haqqi, Raja Sooriamurthi, Brian Macdonald, Cheryl Begandy, Judy Cameron, Berni Pirollo, Evan Becker, Jacqueline Choffo, Christopher Davis, Margaret Farrell, Jennifer Lundahl, Laura Marshall, Kyle Wyche, Aaron Zheng
Data jam: introducing high school students to data science. ITiCSE (2018)