b192
b192
b192
Google is a pacesetter in b192 machine studying (ML) analysis with b192 teams innovating throughout just about b192 all elements of the sphere, b192 from idea to software. We b192 construct machine studying programs to b192 unravel deep scientific and engineering b192 challenges in areas of language, b192 music, visible processing, algorithm improvement, b192 and extra. Core to our b192 strategy is to actively interact b192 with the broader analysis neighborhood b192 by open-sourcing datasets and fashions, b192 publishing our discoveries, and actively b192 taking part in main conferences.
b192
b192
Google is proud to be b192 a b192 Diamond Sponsor b192 of the thirty-ninth b192 Worldwide Convention on Machine Studying b192 (ICML 2022), a premier b192 annual convention, which is being b192 held this week in Baltimore, b192 Maryland. Google has a robust b192 presence at this yr’s convention b192 with over 100 accepted publications b192 and lively involvement in a b192 lot of workshops and tutorials. b192 We sit up for sharing b192 a few of our intensive b192 ML analysis and increasing our b192 partnership with the broader ML b192 analysis neighborhood.
b192
b192
Registered for ICML 2022? We b192 hope you’ll go to the b192 Google sales space to study b192 extra in regards to the b192 thrilling work, creativity, and enjoyable b192 that goes into fixing a b192 portion of the sphere’s most b192 attention-grabbing challenges. Have a look b192 under to study extra in b192 regards to the Google analysis b192 being introduced at ICML 2022 b192 (Google affiliations in b192 daring b192 ).
b192
b192
b192 Organizing Committee b192
b192
b192
Tutorial Chairs embody: b192 Hanie Sedghi b192
b192
b192
Emeritus Members embody: b192 Andrew McCallum b192
b192
b192
Board Members embody: b192 Hugo Larochelle b192 , b192 Csaba Szepesvari b192 , b192 Corinna Cortes b192
b192
b192
b192 Publications b192
b192
b192
b192 Particular person Desire Stability for b192 Clustering b192
b192 Saba Ahmadi, b192 Pranjal Awasthi b192 , Samir Khuller, Matthäus Kleindessner, b192 Jamie Morgenstern, Pattara Sukprasert, Ali b192 Vakilian b192
b192
b192
b192 Head2Toe: Using Intermediate Representations for b192 Higher Switch Studying b192
b192 Utku Evci b192 , b192 Vincent Dumoulin b192 , b192 Hugo Larochelle b192 , b192 Michael Mozer b192
b192
b192
b192 H-Consistency Bounds for Surrogate Loss b192 Minimizers b192
b192 Pranjal Awasthi b192 , Anqi Mao, b192 Mehryar Mohri b192 , Yutao Zhong b192
b192
b192
b192 Cooperative On-line Studying in Stochastic b192 and Adversarial MDPs b192
b192 Tal Lancewicki, Aviv Rosenberg, b192 Yishay Mansour b192
b192
b192
b192 Do Extra Damaging Samples Essentially b192 Damage in Contrastive Studying? b192
b192 Pranjal Awasthi b192 , b192 Nishanth Dikkala b192 , b192 Pritish Kamath b192
b192
b192
b192 Deletion Sturdy Submodular Maximization Over b192 Matroids b192
b192 Paul Dütting b192 , Federico Fusco b192 * b192 , b192 Silvio Lattanzi b192 , b192 Ashkan Norouzi-Fard b192 , b192 Morteza Zadimoghaddam b192
b192
b192
b192 Tight and Sturdy Personal Imply b192 Estimation with Few Customers b192
b192 Hossein Esfandiari b192 , b192 Vahab Mirrokni b192 , Shyam Narayanan b192 * b192
b192
b192
b192 Generative Timber: Adversarial and Copycat b192
b192 Richard Nock b192 , b192 Mathieu Guillame-Bert b192
b192
b192
b192 Agnostic Learnability of Halfspaces by b192 way of Logistic Loss b192
b192 Ziwei Ji b192 * b192 , Kwangjun Ahn b192 * b192 , b192 Pranjal Awasthi b192 , b192 Satyen Kale b192 , b192 Stefani Karp b192
b192
b192
b192 Adversarially Skilled Actor Critic for b192 Offline Reinforcement Studying b192
b192 Ching-An Cheng, Tengyang Xie, Nan b192 Jiang, b192 Alekh Agarwal b192
b192
b192
b192 Unified Scaling Legal guidelines for b192 Routed Language Fashions b192
b192 Aidan Clark, Diego de Las b192 Casas, b192 b192 Aurelia Man b192 , b192 Arthur Mensch, Michela Paganini, Jordan b192 Hoffmann, Bogdan Damoc, b192 Blake Hechtman b192 , Trevor Cai, Sebastian Borgeaud, b192 George van den Driessche, Eliza b192 Rutherford, Tom Hennigan, b192 Matthew Johnson b192 , Albin Cassirer, Chris Jones, b192 Elena Buchatskaya, David Budden, Laurent b192 Sifre, Simon Osindero, Oriol Vinyals, b192 Marc’Aurelio Ranzato, Jack Rae, Erich b192 Elsen, Koray Kavukcuogu, Karen Simonyan b192
b192
b192
b192 Massive Batch Expertise Replay b192
b192 Thibault Lahire, b192 Matthieu Geist b192 , Emmanuel Rachelson b192
b192
b192
b192 Sturdy Coaching of Neural Networks b192 Utilizing Scale Invariant Architectures b192
b192 Zhiyuan Li b192 * b192 , b192 Srinadh Bhojanapalli b192 , Manzil Zaheer, b192 Sashank J. Reddi b192 , b192 Sanjiv Kumar b192
b192
b192
b192 The Poisson Binomial Mechanism for b192 Unbiased Federated Studying with Safe b192 Aggregation b192
b192 Wei-Ning Chen, Ayfer Ozgur, b192 Peter Kairouz b192
b192
b192
b192 World Optimization Networks b192
b192 Sen Zhao b192 , b192 Erez Louidor b192 , b192 Maya Gupta b192
b192
b192
b192 A Joint Exponential Mechanism for b192 Differentially Personal High-k b192
b192 Jennifer Gillenwater b192 , b192 Matthew Joseph b192 , b192 Andres Munoz Medina b192 , b192 Mónica Ribero b192
b192
b192
b192 On the Practicality of Deterministic b192 Epistemic Uncertainty b192
b192 Janis Postels, Mattia Segu, Tao b192 Solar, Luc Van Gool, Fisher b192 Yu, b192 Federico Tombari b192
b192
b192
b192 Balancing Discriminability and Transferability for b192 Supply-Free Area Adaptation b192
b192 Jogendra Nath Kundu, Akshay Kulkarni, b192 Suvaansh Bhambri, Deepesh Mehta, Shreyas b192 Kulkarni, b192 Varun Jampani b192 , Venkatesh Babu Radhakrishnan b192
b192
b192
b192 Switch and Marginalize: Explaining Away b192 Label Noise with Privileged Info b192
b192 Mark Collier b192 , b192 Rodolphe Jenatton b192 , b192 Efi Kokiopoulou b192 , b192 Jesse Berent b192
b192
b192
b192 In Protection of Twin-Encoders for b192 Neural Rating b192
b192 Aditya Menon b192 , b192 Sadeep Jayasumana b192 , b192 Ankit Singh Rawat b192 , b192 Seungyeon Kim b192 , b192 Sashank Jakkam Reddi b192 , b192 Sanjiv Kumar b192
b192
b192
b192 Surrogate Likelihoods for Variational Annealed b192 Significance Sampling b192
b192 Martin Jankowiak, b192 Du Phan b192
b192
b192
b192 Translatotron 2: Excessive-High quality Direct b192 Speech-to-Speech Translation with Voice Preservation b192 (see b192 weblog put up b192 )
b192 Ye Jia b192 , b192 Michelle Tadmor Ramanovich b192 , b192 Tal Remez b192 , b192 Roi Pomerantz b192
b192
b192
b192 Differentially Personal Approximate Quantiles b192
b192 Haim Kaplan b192 , Shachar Schnapp, b192 Uri Stemmer b192
b192
b192
b192 Steady Management with Motion Quantization b192 from Demonstrations b192
b192 Robert Dadashi b192 , b192 Léonard Hussenot b192 , b192 Damien Vincent b192 , b192 Sertan Girgin b192 , b192 Anton Raichuk b192 , b192 Matthieu Geist b192 , b192 Olivier Pietquin b192
b192
b192
b192 Knowledge Scaling Legal guidelines in b192 NMT: The Impact of Noise b192 and Structure b192
b192 Yamini Bansal b192 * b192 , b192 Behrooz Ghorbani b192 , b192 Ankush Garg b192 , Biao Zhang, b192 Maxim Krikun b192 , b192 Colin Cherry b192 , b192 Behnam Neyshabur b192 , b192 Orhan Firat b192
b192
b192
b192 Debiaser Beware: Pitfalls of Centering b192 Regularized Transport Maps b192
b192 Aram-Alexandre Pooladian, b192 Marco Cuturi b192 , Jonathan Niles-Weed b192
b192
b192
b192 A Context-Built-in Transformer-Primarily based Neural b192 Community for Public sale Design b192
b192 Zhijian Duan, Jingwu Tang, Yutong b192 Yin, b192 Zhe Feng b192 , Xiang Yan, Manzil Zaheer, b192 Xiaotie Deng b192
b192
b192
b192 Algorithms for the Communication of b192 Samples b192
b192 Lucas Theis b192 , b192 Noureldin Yosri b192
b192
b192
b192 Being Correctly Improper b192
b192 Tyler Sypherd, b192 Richard Nock b192 , Lalitha Sankar b192
b192
b192
b192 Ensures for Epsilon-Grasping Reinforcement Studying b192 with Operate Approximation b192
b192 Chris Dann b192 , b192 Yishay Mansour b192 , b192 Mehryar Mohri b192 , Ayush Sekhari, Karthik Sridharan b192
b192
b192
b192 Why Ought to I Belief b192 You, Bellman? The Bellman Error b192 is a Poor Alternative for b192 Worth Error b192
b192 Scott Fujimoto b192 , David Meger, Doina Precup, b192 b192 Ofir Nachum b192 , b192 Shixiang Shane Gu b192
b192
b192
b192 Public Knowledge-Assisted Mirror Descent for b192 Personal Mannequin Coaching b192
b192 Ehsan Amid b192 , Arun Ganesh b192 * b192 , b192 Rajiv Mathews b192 , b192 Swaroop Ramaswamy b192 , b192 Shuang Track b192 , b192 Thomas Steinke b192 , Vinith M. Suriyakumar b192 * b192 , b192 Om Thakkar b192 , b192 Abhradeep Thakurta b192
b192
b192
b192 Deep Hierarchy in Bandits b192
b192 Joey Hong, Branislav Kveton, Sumeet b192 Katariya, Manzil Zaheer, b192 Mohammad Ghavamzadeh b192
b192
b192
b192 Scalable Deep Reinforcement Studying Algorithms b192 for Imply Discipline Video games b192
b192 Mathieu Lauriere, Sarah Perrin, b192 Sertan Girgin b192 , Paul Muller, Ayush Jain, b192 Theophile Cabannes, Georgios Piliouras, Julien b192 Perolat, Romuald Elie, b192 Olivier Pietquin b192 , b192 Matthieu Geist b192
b192
b192
b192 Quicker Privateness Accounting by way b192 of Evolving Discretization b192
b192 Badih Ghazi b192 , b192 Pritish Kamath b192 , b192 Ravi Kumar b192 , b192 Pasin Manurangsi b192
b192
b192
b192 HyperPrompt: Immediate-Primarily based Process-Conditioning of b192 Transformers b192
b192 Yun He b192 * b192 , b192 Huaixiu Steven Zheng b192 , b192 Yi Tay b192 , b192 Jai Gupta b192 , b192 Yu Du b192 , b192 Vamsi Aribandi b192 , b192 Zhe Zhao b192 , b192 YaGuang Li b192 , Zhao Chen, b192 Donald Metzler b192 , b192 Heng-Tze Cheng b192 , b192 Ed H. Chi b192
b192
b192
b192 Blocks Assemble! Studying to Assemble b192 with Massive-Scale Structured Reinforcement Studying b192
b192 Seyed Kamyar b192 , b192 Seyed Ghasemipour b192 , b192 Daniel Freeman b192 , b192 Byron David b192 , b192 Shixiang Shane Gu b192 , b192 Satoshi Kataoka b192 , b192 Igor Mordatch b192
b192
b192
b192 Latent Diffusion Vitality-Primarily based Mannequin b192 for Interpretable Textual content Modelling b192
b192 Peiyu Yu, Sirui Xie, Xiaojian b192 Ma, Baoxiong Jia, Bo Pang, b192 b192 Ruiqi Gao b192 , Yixin Zhu, Track-Chun Zhu, b192 Ying Nian Wu b192
b192
b192
b192 On the Optimization Panorama of b192 Neural Collapse Underneath MSE Loss: b192 World Optimality with Unconstrained Options b192
b192 Jinxin Zhou, Xiao Li, Tianyu b192 Ding, b192 Chong You b192 , Qing Qu, Zhihui Zhu b192
b192
b192
b192 Environment friendly Reinforcement Studying in b192 Block MDPs: A Mannequin-Free Illustration b192 Studying Method b192
b192 Xuezhou Zhang, Yuda Track, Masatoshi b192 Uehara, Mengdi Wang, b192 Alekh Agarwal b192 , Wen Solar b192
b192
b192
b192 Sturdy Coaching Underneath Label Noise b192 by Over-Parameterization b192
b192 Sheng Liu, Zhihui Zhu, Qing b192 Qu, b192 Chong You b192
b192
b192
b192 FriendlyCore: Sensible Differentially Personal Aggregation b192
b192 Eliad Tsfadia b192 , b192 Edith Cohen b192 , b192 Haim Kaplan b192 , b192 Yishay Mansour b192 , b192 Uri Stemmer b192
b192
b192
b192 Adaptive Knowledge Evaluation with Correlated b192 Observations b192
b192 Aryeh Kontorovich, Menachem Sadigurschi, b192 Uri Stemmer b192
b192
b192
b192 A Resilient Distributed Boosting Algorithm b192
b192 Yuval Filmus, Idan Mehalel, b192 Shay Moran b192
b192
b192
b192 On Studying Combination of Linear b192 Regressions within the Non-Realizable Setting b192
b192 Avishek Ghosh, Arya Mazumdar, b192 Soumyabrata Pal b192 , b192 Rajat Sen b192
b192
b192
b192 On-line and Constant Correlation Clustering b192
b192 Vincent Cohen-Addad b192 , b192 Silvio Lattanzi b192 , Andreas Maggiori, b192 Nikos Parotsidis b192
b192
b192
b192 From Block-Toeplitz Matrices to Differential b192 Equations on Graphs: In direction b192 of a Normal Concept for b192 Scalable Masked Transformers b192
b192 Krzysztof Choromanski b192 , Han Lin, Haoxian Chen, b192 Tianyi Zhang, Arijit Sehanobish, Valerii b192 Likhosherstov, Jack Parker-Holder, b192 Tamas Sarlos b192 , Adrian Weller, b192 Thomas Weingarten b192
b192
b192
b192 Parsimonious Studying-Augmented Caching b192
b192 Sungjin Im, b192 Ravi Kumar b192 , Aditya Petety, b192 Manish Purohit b192
b192
b192
b192 Normal-Function, Lengthy-Context Autoregressive Modeling with b192 Perceiver AR b192
b192 Curtis Hawthorne b192 , Andrew Jaegle, Cătălina Cangea, b192 Sebastian Borgeaud, Charlie Nash, Mateusz b192 Malinowski, Sander Dieleman, Oriol Vinyals, b192 Matthew Botvinick, b192 Ian Simon b192 , Hannah Sheahan, b192 Neil Zeghidour b192 , Jean-Baptiste Alayrac, Joao Carreira, b192 b192 Jesse Engel b192
b192
b192
b192 Conformal Prediction Units with Restricted b192 False Positives b192
b192 Adam Fisch, b192 Tal Schuster b192 , Tommi Jaakkola, Regina Barzilay b192
b192
b192
b192 Dialog Inpainting: Turning Paperwork into b192 Dialogs b192
b192 Zhuyun Dai b192 , b192 Arun Tejasvi Chaganty b192 , b192 Vincent Zhao b192 , b192 Aida Amini b192 , b192 Qazi Mamunur Rashid b192 , b192 Mike Inexperienced b192 , b192 Kelvin Guu b192
b192
b192
b192 Advantages of Overparameterized Convolutional Residual b192 Networks: Operate Approximation Underneath Smoothness b192 Constraint b192
b192 Hao Liu, Minshuo Chen, Siawpeng b192 Er, Wenjing Liao, b192 Tong Zhang b192 , Tuo Zhao b192
b192
b192
b192 Congested Bandits: Optimum Routing by b192 way of Brief-Time period Resets b192
b192 Pranjal Awasthi b192 , Kush Bhatia, b192 Sreenivas Gollapudi b192 , b192 Kostas Kollias b192
b192
b192
b192 Provable Stochastic Optimization for World b192 Contrastive Studying: Small Batch Does b192 Not Hurt Efficiency b192
b192 Zhuoning Yuan, b192 Yuexin Wu b192 , Zihao Qiu, b192 Xianzhi Du b192 , Lijun Zhang, b192 Denny Zhou b192 , Tianbao Yang b192
b192
b192
b192 Inspecting Scaling and Switch of b192 Language Mannequin Architectures for Machine b192 Translation b192
b192 Biao Zhang b192 * b192 , b192 Behrooz Ghorbani b192 , b192 Ankur Bapna b192 , b192 Yong Cheng b192 , b192 Xavier Garcia b192 , b192 Jonathan Shen b192 , b192 Orhan Firat b192
b192
b192
b192 GLaM: Environment friendly Scaling of b192 Language Fashions with Combination-of-Consultants b192 b192 (see b192 weblog put up b192 ) b192
b192 Nan Du b192 , b192 Yanping Huang b192 , b192 Andrew M. Dai b192 , b192 Simon Tong b192 , b192 Dmitry Lepikhin b192 , b192 Yuanzhong Xu b192 , b192 Maxim Krikun b192 , b192 Yanqi Zhou b192 , b192 Adams Wei Yu b192 , b192 Orhan Firat b192 , b192 Barret Zoph b192 , b192 Liam Fedus b192 , b192 Maarten Bosma b192 , b192 Zongwei Zhou b192 , b192 Tao Wang b192 , b192 Yu Emma Wang b192 , b192 Kellie Webster b192 , b192 Marie Pellat b192 , b192 Kevin Robinson b192 , b192 Kathy Meier-Hellstern b192 , b192 Toju Duke b192 , b192 Lucas Dixon b192 , b192 Kun Zhang b192 , b192 Quoc V Le b192 , b192 Yonghui Wu b192 , b192 Zhifeng Chen b192 , b192 Claire Cui b192
b192
b192
b192 Leverage Unlabeled Knowledge in b192 Offline Reinforcement Studying? b192
b192 Tianhe Yu b192 , b192 Aviral Kumar b192 , b192 Yevgen Chebotar b192 , b192 Karol Hausman b192 , b192 Chelsea Finn b192 , b192 Sergey Levine b192
b192
b192
b192 Distributional Hamilton-Jacobi-Bellman Equations for Steady-Time b192 Reinforcement Studying b192
b192 Harley Wiltzer, David Meger, b192 Marc G. Bellemare b192
b192
b192
b192 On the Robustness of CountSketch b192 to Adaptive Inputs b192
b192 Edith Cohen b192 , Xin Lyu, b192 Jelani Nelson b192 , b192 Tamás Sarlós b192 , Moshe Shechner, b192 Uri Stemmer b192
b192
b192
b192 Mannequin Choice in Batch Coverage b192 Optimization b192
b192 Jonathan N. Lee b192 , b192 George Tucker b192 , b192 Ofir Nachum b192 , b192 Bo Dai b192
b192
b192
b192 The Basic Value of Safe b192 Aggregation in Differentially Personal Federated b192 Studying b192
b192 Wei-Ning Chen b192 , b192 Christopher A. Choquette-Choo b192 , b192 Peter Kairouz b192 , b192 Ananda Theertha Suresh b192
b192
b192
b192 Linear-Time Gromov Wasserstein Distances Utilizing b192 Low Rank Couplings and Prices b192
b192 Meyer Scetbon, Gabriel Peyré, Marco b192 Cuturi b192 * b192
b192
b192
b192 Lively Sampling for Min-Max Equity b192
b192 Jacob Abernethy, b192 Pranjal Awasthi b192 , Matthäus Kleindessner, Jamie Morgenstern, b192 Chris Russell, Jie Zhang b192
b192
b192
b192 Making Linear MDPs Sensible by b192 way of Contrastive Illustration Studying b192
b192 Tianjun Zhang, b192 Tongzheng Ren b192 , b192 Mengjiao Yang b192 , Joseph E. Gonzalez, b192 Dale Schuurmans b192 , b192 Bo Dai b192
b192
b192
b192 Attaining Minimax Charges in Pool-Primarily b192 based Batch Lively Studying b192
b192 Claudio Gentile b192 , Zhilei Wang, b192 Tong Zhang b192
b192
b192
b192 Personal Adaptive Optimization with Aspect b192 Info b192
b192 Tian Li, Manzil Zaheer, b192 Sashank J. Reddi b192 , Virginia Smith b192
b192
b192
b192 Self-Supervised Studying With Random-Projection Quantizer b192 for Speech Recognition b192
b192 Chung-Cheng Chiu b192 , b192 James Qin b192 , b192 Yu Zhang b192 , b192 Jiahui Yu b192 , b192 Yonghui Wu b192
b192
b192
b192 Broad Bayesian Neural Networks Have b192 a Easy Weight Posterior: Concept b192 and Accelerated Sampling b192
b192 Jiri Hron b192 , b192 Roman Novak b192 , b192 Jeffrey Pennington b192 , b192 Jascha Sohl-Dickstein b192
b192
b192
b192 The State of Sparse Coaching b192 in Deep Reinforcement Studying b192
b192 Laura Graesser b192 , b192 Utku Evci b192 , Erich Elsen, b192 Pablo Samuel Castro b192
b192
b192
b192 Constrained Discrete Black-Field Optimization Utilizing b192 Blended-Integer Programming b192
b192 Theodore P. Papalexopoulos b192 , b192 Christian Tjandraatmadja b192 , b192 Ross Anderson b192 , b192 Juan Pablo Vielma b192 , b192 David Belanger b192
b192
b192
b192 Massively Parallel k-Means Clustering for b192 Perturbation Resilient Situations b192
b192 Vincent Cohen-Addad b192 , b192 Vahab Mirrokni b192 , b192 Peilin Zhong b192
b192
b192
b192 What Language Mannequin Structure and b192 Pre-training Goal Works Greatest for b192 Zero-Shot Generalization? b192
b192 Thomas Wang, b192 Adam Roberts b192 , Daniel Hesslow, Teven Le b192 Scao, b192 Hyung Gained Chung b192 , Iz Beltagy, Julien Launay, b192 Colin Raffel b192
b192
b192
b192 Mannequin Soups: Averaging Weights of b192 A number of High-quality-Tuned Fashions b192 Improves Accuracy With out Growing b192 Inference Time b192
b192 Mitchell Wortsman, Gabriel Ilharco, Samir b192 Yitzhak Gadre, b192 Rebecca Roelofs b192 , b192 Raphael Gontijo-Lopes b192 , Ari S. Morcos, Hongseok b192 Namkoong, Ali Farhadi, Yair Carmon, b192 b192 Simon Kornblith b192 , Ludwig Schmidt b192
b192
b192
b192 Synergy and Symmetry in Deep b192 Studying: Interactions Between the Knowledge, b192 Mannequin, and Inference Algorithm b192
b192 Lechao Xiao b192 , b192 Jeffrey Pennington b192
b192
b192
b192 Quick Finite Width Neural Tangent b192 Kernel b192
b192 Roman Novak b192 , b192 Jascha Sohl-Dickstein b192 , b192 Samuel S. Schoenholz b192
b192
b192
b192 The Combinatorial Mind Surgeon: Pruning b192 Weights that Cancel One One b192 other in Neural Networks b192
b192 Xin Yu, Thiago Serra, b192 Srikumar Ramalingam b192 , Shandian Zhe b192
b192
b192
b192 Bayesian Imitation Studying for Finish-to-Finish b192 Cellular Manipulation b192
b192 Yuqing Du, Daniel Ho, b192 Alexander A. Alemi b192 , b192 Eric Jang b192 , Mohi Khansari b192
b192
b192
b192 HyperTransformer: Mannequin Era for Supervised b192 and Semi-Supervised Few-Shot Studying b192
b192 Andrey Zhmoginov b192 , b192 Mark Sandler b192 , b192 Max Vladymyrov b192
b192
b192
b192 Marginal Distribution Adaptation for Discrete b192 Units by way of Module-Oriented b192 Divergence Minimization b192
b192 Hanjun Dai b192 , b192 Mengjiao Yang b192 , b192 Yuan Xue b192 , b192 Dale Schuurmans b192 , b192 Bo Dai b192
b192
b192
b192 Correlated Quantization for Distributed Imply b192 Estimation and Optimization b192
b192 Ananda Theertha Suresh b192 , b192 Ziteng Solar b192 , b192 Jae Hun Ro b192 , b192 Felix Yu b192
b192
b192
b192 Language Fashions as Zero-Shot Planners: b192 Extracting Actionable Information for Embodied b192 Brokers b192
b192 Wenlong Huang, Pieter Abbeel, Deepak b192 Pathak, b192 Igor Mordatch b192
b192
b192
b192 Solely Tails Matter: Common-Case Universality b192 and Robustness within the Convex b192 Regime b192
b192 Leonardo Cunha, Gauthier Gidel, b192 Fabian Pedregosa b192 , Damien Scieur, Courtney Paquette b192
b192
b192
b192 Studying Iterative Reasoning by way b192 of Vitality Minimization b192
b192 Yilun Du, Shuang Li, Josh b192 Tenenbaum, b192 Igor Mordatch b192
b192
b192
b192 Interactive Correlation Clustering with Existential b192 Cluster Constraints b192
b192 Rico Angell, b192 Nicholas Monath b192 , Nishant Yadav, Andrew McCallum b192
b192
b192
b192 Constructing Sturdy Ensembles by way b192 of Margin Boosting b192
b192 Dinghuai Zhang, Hongyang Zhang, Aaron b192 Courville, Yoshua Bengio, Pradeep Ravikumar, b192 b192 Arun Sai Suggala b192
b192
b192
b192 Probabilistic Bilevel Coreset Choice b192
b192 Xiao Zhou, Renjie Pi, Weizhong b192 Zhang, Yong Lin, b192 Tong Zhang b192
b192
b192
b192 Mannequin Agnostic Pattern Reweighting for b192 Out-of-Distribution Studying b192
b192 Xiao Zhou, Yong Lin, Renjie b192 Pi, Weizhong Zhang, Renzhe Xu, b192 Peng Cui, b192 Tong Zhang b192
b192
b192
b192 Sparse Invariant Threat Minimization b192
b192 Xiao Zhou, Yong Lin, Weizhong b192 Zhang, b192 Tong Zhang b192
b192
b192
b192 RUMs from Head-to-Head Contests b192
b192 Matteo Almanza, Flavio Chierichetti, b192 Ravi Kumar, b192 Alessandro Panconesi, b192 Andrew Tomkins b192
b192
b192
b192 A Parametric Class of Approximate b192 Gradient Updates for Coverage Optimization b192
b192 Ramki Gummadi b192 , b192 Saurabh Kumar b192 , Junfeng Wen, b192 Dale Schuurmans b192
b192
b192
b192 On Implicit Bias in Overparameterized b192 Bilevel Optimization b192
b192 Paul Vico, Jonathan Lorraine, b192 Fabian Pedregosa b192 , David Duvenaud, Roger Grosse b192
b192
b192
b192 Function and Parameter Choice in b192 Stochastic Linear Bandits b192
b192 Ahmadreza Moradipari, Berkay Turan, Yasin b192 Abbasi-Yadkori, Mahnoosh Alizadeh, b192 Mohammad Ghavamzadeh b192
b192
b192
b192 Neural Community Poisson Fashions for b192 Behavioural and Neural Spike Prepare b192 Knowledge b192
b192 Moein Khajehnejad, Forough Habibollahi, b192 Richard Nock b192 , Ehsan Arabzadeh, Peter Dayan b192 and Amir Dezfouli b192
b192
b192
b192 Deep Equilibrium Networks are Delicate b192 to Initialization Statistics b192
b192 Atish Agarwala b192 , b192 Samuel Schoenholz b192
b192
b192
b192 A Remorse Minimization Method to b192 Multi-Agent Management b192
b192 Udaya Ghai b192 , Udari Madhushani, Naomi Leonard, b192 b192 Elad Hazan b192
b192
b192
b192 Transformer High quality in Linear b192 Time b192
b192 Weizhe Hua b192 , b192 Zihang Dai b192 , b192 Hanxiao Liu b192 , b192 Quoc V. Le b192
b192
b192
b192 Workshops b192
b192
b192
b192 Shift Occurs: Crowdsourcing Metrics and b192 Take a look at Datasets b192 Past ImageNet b192
b192 Organizing Committee contains: b192 Roland S. Zimmerman b192
b192 Invited Audio system embody: b192 Chelsea Finn b192 , b192 Lucas Beyer b192
b192
b192
b192 Machine Studying for Audio Synthesis b192
b192 Organizing Committee contains: b192 Yu Zhang b192
b192 Invited Audio system embody: b192 Chris Donahue b192
b192
b192
b192 New Frontiers in Adversarial Machine b192 Studying b192
b192 Organizing Committee contains: b192 Sanmi Koyejo b192
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b192 Spurious Correlations, Invariance, and Stability b192 (SIC) b192
b192 Organizing Committee contains: b192 Victor Veitch b192
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b192 DataPerf: Benchmarking Knowledge for Knowledge-Centric b192 AI b192
b192 Organizing Committee contains: b192 Lora Aroyo b192 , b192 Peter Mattson b192 , b192 Praveen Paritosh b192
b192 DataPerf Audio system embody: b192 Lora Aroyo b192 , b192 Peter Mattson b192 , b192 Praveen Paritosh b192
b192 Invited Audio system embody: b192 Jordi Pont-Tuset b192
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b192 Machine Studying for Astrophysics b192
b192 Invited Audio system embody: b192 Dustin Tran b192
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b192 Dynamic Neural Networks b192
b192 Organizing Committee contains: b192 Carlos Riquelme b192
b192 Panel Chairs embody: b192 Neil Houlsby b192
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b192 Interpretable Machine Studying in Healthcare b192 (IMLH) b192
b192 Organizing Committee contains: b192 Ramin Zabih b192
b192 Invited Audio system embody: b192 Been Kim b192
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b192 Human-Machine Collaboration and Teaming b192
b192 Invited Audio system embody: b192 Fernanda Viégas b192 , b192 Martin Wattenberg b192 , Yuhuai (Tony) Wu b192
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b192 Pre-training: Views, Pitfalls, and Paths b192 Ahead b192
b192 Organizing Committee contains: b192 Hugo Larochelle b192 , b192 Chelsea Finn b192
b192 Invited Audio system embody: b192 Hanie Sedgh b192 , b192 Charles Sutton b192
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b192 Accountable Choice Making in Dynamic b192 Environments b192
b192 Invited Audio system embody: b192 Craig Boutilier b192
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b192 Rules of Distribution Shift (PODS) b192
b192 Organizing Committee contains: b192 Hossein Mobahi b192
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b192 {Hardware}-Conscious Environment friendly Coaching (HAET) b192
b192 Invited Audio system embody: b192 Tien-Ju Yang b192
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b192 Updatable Machine Studying b192
b192 Invited Audio system embody: b192 Chelsea Finn b192 , b192 Nicolas Papernot b192
b192 Organizing Committee contains: b192 Ananda Theertha Suresh b192 , b192 Badih Ghazi b192 , b192 Chiyuan Zhang b192 , b192 Kate Donahue b192 , b192 Peter Kairouz b192 , b192 Ziteng Solar b192
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b192 Information Retrieval and Language Fashions b192
b192 Invited Audio system embody: b192 Fernando Diaz b192 , b192 Quoc Le b192 , b192 Kenton Lee b192 , b192 Ellie Pavlick b192
b192 Organizing Committee contains: b192 Urvashi Khandelwal b192 , b192 Chiyuan Zhang b192
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b192 Concept and Follow of Differential b192 Privateness b192
b192 Organizing Committee contains: b192 Badih Ghazi b192 , b192 Matthew Joseph b192 , b192 Peter Kairouz b192 , b192 Om Thakkar b192 , b192 Thomas Steinke b192 , b192 Ziteng Solar b192
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b192 Past Bayes: Paths In direction b192 of Common Reasoning Methods b192
b192 Invited Audio system embody: b192 Charles Sutton b192
b192 Highlight Speak: Language Mannequin Cascades b192 | b192 David Dohan b192 , b192 Winnie Xu b192 , b192 Jacob Austin b192 , b192 David Bieber b192 , b192 Raphael Gontijo Lopes b192 , b192 Yuhuai Wu b192 , b192 Henryk Michalewski b192 , b192 Rif A. Saurous b192 , b192 Jascha Sohl-dickstein b192 , b192 Kevin Murphy b192 , b192 Charles Sutton b192
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b192 Secure Studying for Autonomous Driving b192 (SL4AD) b192
b192 Invited Audio system embody: b192 Chelsea Finn b192
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b192 * b192 Work achieved whereas at Google. b192 b192 ↩ b192
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