Giovanni Cherubin, Konstantinos Chatzikokolakis, Martin Jaggi

Keywords Abstract Paper

Probabilistic Methods

Tao LIN, Lingjing Kong, Sebastian Stich, Martin Jaggi

Keywords Abstract Paper

Deep Learning - Algorithms

Andreea-Ioana Deac, Petar Veličković, Ognjen Milinkovic and

Pierre-Luc Bacon, Jian Tang, Mladen Nikolic

Keywords Abstract Paper

deep learning, reinforcement learning and planning, self-supervised learning, generative model, graph learning

Erik Daxberger, Eric Nalisnick, James Allingham and

Javier Antorán, Jose Miguel Hernandez-Lobato

Keywords Abstract Paper

, Reinforcement Learning and Planning, Multi-Agent RL, Deep Learning, Bayesian Deep Learning

Liheng Zhang, Guo-Jun Qi

Keywords Abstract Paper

semi-supervised learning, worst-case perturbations, model-based robustness, sample-based robustness, additive perturbations, dropconnect perturbations

Ehsan Kazemi, shervin minaee, Moran Feldman, Amin Karbasi

Keywords Abstract Paper

Optimization, Combinatorial Optimization

Cong Han Lim, Raquel Urtasun, Ersin Yumer

Keywords Abstract Paper

Optimization - General

Panteha Naderian, Gabriel Loaiza-Ganem, Harry Braviner and

Anthony Caterini, Jesse C Cresswell, Tong Li, Animesh Garg

Keywords Abstract Paper

reinforcement learning, goal reaching, Q-learning

Alex Nowak, Francis Bach, Alessandro Rudi

Keywords Abstract Paper

Sequential, Network, and Time-Series Modeling

Alexey Radul, Boris Alexeev

Keywords Abstract Paper

Vivien Cabannes, Loucas Pillaud-Vivien, Francis Bach, Alessandro Rudi

Keywords Abstract Paper

machine learning, kernel methods, semi-supervised learning

Yanwei Fu, Chen Liu, Donghao Li and

Xinwei Sun, Jinshan ZENG, Yuan Yao

Keywords Abstract Paper

Deep Learning - Algorithms

Mete Kemertas, Tristan Aumentado-Armstrong

Keywords Abstract Paper

reinforcement learning and planning, robustness, representation learning

Andreas Maurer, Daniela Angela Parletta, Andrea Paudice, Massimiliano Pontil

Keywords Abstract Paper

Theory, Statistical Learning Theory

Esther Rolf, Michael Jordan, Benjamin Recht

Keywords Abstract Paper

Adam Stooke, Joshua Achiam, Pieter Abbeel

Keywords Abstract Paper

Reinforcement Learning - Deep RL

Siyi Liu, Chen Gao, Yihong Chen and

Depeng Jin, Yong Li

Keywords Abstract Paper

Deep Learning, Embedding Size, Recommender Systems

Jakub Grudzien Kuba, Muning Wen, Linghui Meng and

shangding gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang

Keywords Abstract Paper

deep learning, reinforcement learning and planning

Fabien Lauer

Keywords Abstract Paper

Dibya Ghosh, Jad Rahme, Aviral Kumar and

Amy Zhang, Ryan Adams, Sergey Levine

Keywords Abstract Paper

reinforcement learning and planning

Guillem Francès, Blai Bonet, Hector Geffner

Keywords Abstract Paper

Siddhant Garg, Yingyu Liang

Keywords Abstract Paper

Thomas Spooner, Nelson Vadori, Sumitra Ganesh

Keywords Abstract Paper

bandits

Alekh Agarwal, Sham Kakade, Akshay Krishnamurthy, Wen Sun

Keywords Abstract Paper

Giancarlo Kerg, bhargav104 Kanuparthi, Anirudh Goyal ALIAS PARTH GOYAL and

Kyle Goyette, Yoshua Bengio, Guillaume Lajoie

Keywords Abstract Paper

Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto and

Luigi Gresele, Bernhard Schoelkopf

Keywords Abstract Paper

invariances, gradient alignment, consistency

Lucio Dery, Yann Dauphin, David Grangier

Keywords Abstract Paper

multitask learning, deeplearning, pre-training, gradient decomposition

Jingfeng Wu, Vladimir Braverman, Lin Yang

Keywords Abstract Paper

Optimization - General

Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang

Keywords Abstract Paper

optimization, machine learning, representation learning, interpretability

Ruosong Wang, Peilin Zhong, Simon Du and

Russ Salakhutdinov, Lin Yang

Keywords Abstract Paper

Algorithms -> Classification; Theory -> Frequentist Statistics, Theory -> Learning Theory

Edric Tam, David Dunson

Keywords Abstract Paper

Supervised Learning

Li'an Zhuo, Baochang Zhang, Linlin Yang and

Hanlin Chen, Qixiang Ye, David Doermann, Rongrong Ji, Guodong Guo

Keywords Abstract Paper

bilinear optimization, gradient descent algorithm, convolutional sparse coding, network pruning

Davide Abati, Jakub Tomczak, Tijmen Blankevoort and

Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi

Keywords Abstract Paper

continual learning, channel gating, conditional computation, incremental learning, lifelong learning, hard attention

Kenta Niwa, Guoqiang Zhang, W. Bastiaan Kleijn and

Noboru Harada, Hiroshi Sawada, Akinori Fujino

Keywords Abstract Paper

Optimization, Distributed and Parallel Optimization

Vu Nguyen, Vaden Masrani, Rob Brekelmans and

Michael A Osborne, Frank Wood

Keywords Abstract Paper

Max Simchowitz, Christopher Tosh, Akshay Krishnamurthy and

Daniel Hsu, Thodoris Lykouris, Miro Dudik, Robert E Schapire

Keywords Abstract Paper

meta learning, bandits

Mohammad Pezeshki, Oumar Kaba, Yoshua Bengio and

Aaron Courville, Doina Precup, Guillaume Lajoie

Keywords Abstract Paper

theory, deep learning, optimization, robustness

Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang

Keywords Abstract Paper

Optimization, Distributed and Parallel Optimization

HanQin Cai, Jialin Liu, Wotao Yin

Keywords Abstract Paper

deep learning, machine learning

Alexander Shevchenko, Marco Mondelli

Keywords Abstract Paper

Deep Learning - Theory