Aditi Krishnapriyan, Amir Gholami, Shandian Zhe and

Robert Kirby, Michael W Mahoney

Keywords Abstract Paper

deep learning, optimization, machine learning

Zihang Meng, Lopamudra Mukherjee, Yichao Wu and

Vikas Singh, Sathya Narayanan Ravi

Keywords Abstract Paper

deep learning, optimization

Junhe Zhao, Linlin Yang, Baochang Zhang and

Guodong Guo, David Doermann

Keywords Abstract Paper

Machine Learning, Classification, Deep Learning

Kaidi Xu, Huan Zhang, Shiqi Wang and

Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh

Keywords Abstract Paper

branch and bound, neural network verification

Yogesh Balaji, Mohammadmahdi Sajedi, Neha Kalibhat and

Mucong Ding, Dominik Stöger, Mahdi Soltanolkotabi, Soheil Feizi

Keywords Abstract Paper

min-max optimization, Over-parameterization, GAN

Kiwon Um, Robert Brand, Yun (Raymond) Fei and

Philipp Holl, Nils Thuerey

Keywords Abstract Paper

Tolga Birdal, Aaron Lou, Leonidas Guibas, Umut Simsekli

Keywords Abstract Paper

theory, deep learning, optimization

Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin and

Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian Goodfellow, Percy Liang, Pushmeet Kohli

Keywords Abstract Paper

Sofiene Jerbi, Casper Gyurik, Simon Marshall and

Hans Briegel, Vedran Dunjko

Keywords Abstract Paper

deep learning, reinforcement learning and planning, machine learning

Jiaqi Gu, Chenghao Feng, Zheng Zhao and

Zhoufeng Ying, Ray T. Chen, David Z. Pan

Keywords Abstract Paper

Cagatay Yildiz, Markus Heinonen, Harri Lähdesmäki

Keywords Abstract Paper

Reinforcement Learning and Planning

Yuhang Li, Ruihao Gong, Xu Tan and

Yang Yang, Peng Hu, Qi Zhang, fengwei yu, Wei Wang, Shi Gu

Keywords Abstract Paper

Second-order analysis, Mixed Precision, Post Training Quantization

Xiangming Meng, Roman Bachmann, Mohammad Emtiyaz Khan

Keywords Abstract Paper

Deep Learning - General

Imtiaz Ziko, Jose Dolz, Eric Granger, Ismail Ben Ayed

Keywords Abstract Paper

Unsupervised and Semi-Supervised Learning

Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi

Keywords Abstract Paper

Adversarial Examples

Jonas Rothfuss, Vincent Fortuin, Martin Josifoski, Andreas Krause

Keywords Abstract Paper

Algorithms, Multitask, Transfer, and Meta Learning

Yufan Zhou, Zhenyi Wang, Jiayi Xian and

Changyou Chen, Jinhui Xu

Keywords Abstract Paper

neural tangent kernel, meta-learning

Nan Ding, Xi Chen, Tomer Levinboim and

Sebastian Goodman, Radu Soricut

Keywords Abstract Paper

theory, meta learning, few shot learning

Durga S, Rishabh Iyer, Ganesh Ramakrishnan, Abir De

Keywords Abstract Paper

, Algorithms, Online Learning, Algorithms, Supervised Learning

Alexander Robey, George J. Pappas, Hamed Hassani

Keywords Abstract Paper

theory, deep learning, optimization, robustness, domain adaptation

Masoud Pourreza, Bahram Mohammadi, Mostafa Khaki and

Samir Bouindour, Hichem Snoussi, Mohammad Sabokrou

Keywords Abstract Paper

Somjit Nath, Vincent Liu, Alan Chan and

Xin Li, Adam White, Martha White

Keywords Abstract Paper

Recurrent Neural Network, Partial Observability, Online Prediction, Incremental Learning

Shubhanshu Shekhar, Greg Fields, Mohammad Ghavamzadeh, Tara Javidi

Keywords Abstract Paper

deep learning, machine learning, fairness

Adel Javanmard, Mahdi Soltanolkotabi, Hamed Hassani

Keywords Abstract Paper

Adversarial learning and robustness, High-dimensional statistics, Regression

Kang Zhao, Sida Huang, Pan Pan and

Yinghan Li, Yingya Zhang, Zhenyu Gu, Yinghui Xu

Keywords Abstract Paper

Jiaqi Gu, Hanqing Zhu, Chenghao Feng and

Zixuan Jiang, Ray Chen, David Pan

Keywords Abstract Paper

deep learning, optimization

Pan Zhou, Hanshu Yan, Xiaotong Yuan and

Jiashi Feng, Shuicheng Yan

Keywords Abstract Paper

deep learning, optimization

Pranjal Awasthi, Vaggos Chatziafratis, Xue Chen, Aravindan Vijayaraghavan

Keywords Abstract Paper

Tianlong Chen, Weiyi Zhang, Zhou Jingyang and

Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

Keywords Abstract Paper

Yue Xing, Qifan Song, Guang Cheng

Keywords Abstract Paper

Rares-Darius Buhai, Yoni Halpern, Yoon Kim and

Andrej Risteski, David Sontag

Keywords Abstract Paper

Probabilistic Inference - Models and Probabilistic Programming

Yuan Yin, Vincent Le Guen, Jérémie DONA and

Emmanuel d Bezenac, Ibrahim Ayed, Nicolas THOME, patrick gallinari

Keywords Abstract Paper

physics, deep learning, hybrid systems, spatio-temporal forecasting, differential equations

Jian Li, Xuanyuan Luo, Mingda Qiao

Keywords Abstract Paper

learning theory, generalization, nonconvex learning, stochastic gradient descent, Langevin dynamics

Neha Wadia, Daniel Duckworth, Samuel Schoenholz and

Ethan Dyer, Jascha Sohl-Dickstein

Keywords Abstract Paper

Optimization, Probabilistic Methods, Topic Models, Probabilistic Methods, Latent Variable Models

Jiayi Shen, Xiaohan Chen, Howard Heaton and

Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang

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Minimax Optimization, Learning to Optimize

Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura and

Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang

Keywords Abstract Paper

Avik Pal, Yingbo Ma, Viral Shah, Christopher Rackauckas

Keywords Abstract Paper

Deep Learning

Yuanhao Wang*, Guodong Zhang*, Jimmy Ba

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minimax optimization, smooth differentiable games, local convergence, generative adversarial networks, optimization

James Lucas, Mengye Ren, Irene Raissa KAMENI KAMENI and

Toniann Pitassi, Richard Zemel

Keywords Abstract Paper

meta learning, minimax risk, few-shot, lower bounds, learning theory

Haichao Yu, Haoxiang Li, Humphrey Shi and

Thomas S. Huang, Gang Hua

Keywords Abstract Paper