Given the rapidly changing world of Machine Learning and A.I., the PLAI group is determined to stay up to date and ahead of the curve wherever possible. Each week one member of the group will present on a topic they feel passionate about, these discussions are supported by research papers.
If you are interested in attending our sessions, or would like more information, please reach out to plai-admin@cs.ubc.ca.
Current Semester
2024 – 2025 Academic Year
Fall 2024 (Term 1)
Date | Format | Presenter | Topic | Paper |
September 5th | PLAI Reading Group | Larry Liu | Directly Fine-Tuning Diffusion Models on Differentiable Rewards | Paper Link |
September 12th | Meeting Cancelled | – – | ||
September 19th | Meeting Cancelled | – – | ||
September 26th | PhD Defense | Vasileios Lioutas | Towards Realistic Controllable Driving Simulators | |
October 3rd | PLAI Reading Group | Jason Yoo | Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning | Paper Link |
October 10th | Meeting Cancelled | – – | ||
October 17th | PLAI Reading Group | Dylan Green | Guiding a Diffusion Model with a Bad Version of Itself | Paper Link |
October 24th | Meeting Cancelled | – – | ||
October 31st | Meeting Cancelled | – – | ||
November 7th | PLAI Reading Group | Vasileios Lioutas | Were RNNs All We Needed? | Paper Link |
November 14th | PLAI Reading Group | Ke Zhang | REBEL: Reinforcement Learning via Regressing Relative Rewards | Paper Link |
November 21st | Meeting Cancelled | – – | ||
November 28th | PLAI Reading Group | Charlie He | MINEDOJO: Building Open-Ended Embodied Agents with Internet-Scale Knowledge | Paper Link |
December 5th | PLAI Reading Group | Christian Weilbach | A Unified Framework for U-Net Design and Analysis | Paper Link |
December 12th | Meeting Cancelled | – – | ||
December 19th | PLAI Reading Group | Saeid Naderiparizi | TBD |
Past Sessions
2023 – 2024 Academic Year
Fall 2023 (Term 1)
Date | Format | Presenter | Topic | Paper |
September 6th | Guest Presenter | Geoff Pleiss | We Don’t Understand Ensembles (in the Overparameterized Regime) | |
September 13th | PLAI Reading Group | Larry Liu | Multisample Flow Matching: Straightening Flows with Minibatch Couplings | Paper Link |
September 20th | PLAI Reading Group | Dylan Green | InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models | Paper Link |
September 27th | PLAI Reading Group | Jason Yoo | Can Neural Network Memorization Be Localized? | Paper Link |
October 4th | Meeting Cancelled | – – | ||
October 11th | PLAI Reading Group | Ryan Fayyazi | Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models | Paper Link |
October 18th | PLAI Reading Group | Vasileios Lioutas | Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions | Paper Link |
October 25th | PLAI Reading Group | Ke Zhang | Is Conditional Generative Modeling all you need for Decision-Making | Paper Link |
November 1st | PLAI Reading Group | Charlie He | Cones: Concept Neurons in Diffusion Models for Customized Generation | Paper Link |
November 8th | PLAI Reading Group | Christian Weilbach | Cognitive Architectures for Language Agents | Paper Link |
November 15th | PLAI Reading Group | Matthew Niedoba | Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion | Paper Link |
November 22nd | PLAI Reading Group | Saeid Naderiparizi | Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow | Paper Link |
November 29th | PLAI Reading Group | William Harvey | Generalization in Diffusion Models Arises from Geometry-Adaptive Harmonic Representation | Paper Link |
December 6th | PLAI Reading Group | Wilder Lavington | Temporal Difference Learning for Model Predictive Control | Paper Link |
Winter 2024 (Term 2)
Date | Format | Presenter | Topic | Paper |
January 17th | PLAI Reading Group | Larry Liu | When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment | Paper Link |
January 24th | PLAI Reading Group | Vasileios Lioutas | Idempotent Generative Network | Paper Link |
January 31st | Pre-ICML Review | – – | ||
February 7th | PLAI Reading Group | Jason Yoo | DDGR: Continual Learning with Deep Diffusion-based Generative Replay | Paper Link |
February 14th | PLAI Reading Group | Ke Zhang | Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies | Paper Link |
February 21st | PLAI Reading Group | Charlie He | Mistral of Experts | Paper Link |
February 28th | PLAI Reading Group | Matthew Niedoba | Analyzing and Improving the Training Dynamics of Diffusion Models | Paper Link |
March 6th | PLAI Reading Group | Christian Weilbach | CogAgent: A Visual Language Model for GUI Agents | Paper Link |
March 13th | Meeting Cancelled | – – | ||
March 20th | Meeting Cancelled | – – | ||
March 27th | PLAI Reading Group | Larry Liu | Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution | Paper Link |
April 3rd | PLAI Reading Group | William Harvey | Scalable Diffusion Models with Transformers | Paper Link |
April 10th | PLAI Reading Group | Saeid Naderiparizi | Direct Preference Optimization: Your Language Model is Secretly a Reward Model | Paper Link |
April 17th | PLAI Reading Group | Xiaoxuan Liang | Detecting, Explaining, and Mitigating Memorization in Diffusion Models | Paper Link |
April 24th | PLAI Reading Group | Dylan Green | Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision | Paper Link |
Summer 2024
Date | Format | Presenter | Topic | Paper |
May 1st | PLAI Reading Group | Wilder Lavington | Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios | Paper Link |
May 8th | PLAI Reading Group | Jason Yoo | Transformers for Supervised Online Continual Learning | Paper Link |
May 15th | PLAI Reading Group | Vasileios Lioutas | Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo | Paper Link |
May 23rd | Meeting Cancelled | – – | ||
May 30th | PLAI Reading Group | Ke Zhang | Neural Diffusion Processes | Paper Link |
June 6th | Meeting Cancelled | – – | ||
June 13th | PLAI Reading Group | Charlie He | Fast Timing-Conditioned Latent Audio Diffusion | Paper Link |
June 20th | Meeting Cancelled | – – | ||
June 27th | PLAI Reading Group | Christian Weilbach | Particle Denoising Diffusion Sampler | Paper Link |
July 4th | PLAI Reading Group | Matthew Niedoba | Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models | Paper Link |
July 11th | Meeting Cancelled | – – | ||
July 18th | Meeting Cancelled | – – | ||
July 25th | Meeting Cancelled | – – | ||
August 1st | Meeting Cancelled | – – | ||
August 8th | PLAI Reading Group | Saeid Naderiparizi | Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion models and MCMC | Paper Link |
August 15th | PLAI Reading Group | Wilder Lavington | Video Prediction Models as Rewards for Reinforcement Learning | Paper Link |
August 22nd | PLAI Reading Group | Xiaoxuan Liang | Neural Diffusion Models | Paper Link |
August 29th | PLAI Reading Group | Abigail Azari | Why Simulation Based Inference is a Useful Endeavor for our Science |
2022 – 2023 Academic Year
Fall 2022 (Term 1)
Date | Format | Presenter | Topic | Paper |
September 14th | PLAI Reading Group | Alexander Mead | Detecting Exoplanets via Transit-Time Variations | Paper Link |
September 21st | PLAI Reading Group | Xiaoxuan Liang | Equivariant Diffusion for Molecule Generation in 3D | Paper Link |
September 28th | PLAI Reading Group | Dylan Green | CARD: Classification and Regression Diffusion Models | Paper Link |
October 5th | Meeting Cancelled | – – | ||
October 12th | PLAI Reading Group | Ryan Fayyazi | The Neural Race Reduction: Dynamics of Abstraction in Gated Networks | Paper Link |
October 19th | PLAI Reading Group | Vasileios Lioutas | Transformers are Sample Efficient World Models | Paper Link |
October 26th | Meeting Cancelled | – – | ||
November 2nd | PLAI Reading Group | Will Harvey | Text-to-3D using 2D Diffusion | Paper Link |
November 9th | PLAI Reading Group | Saeid Naderiparizi | VQVAE and VQGAN | Paper Link |
November 16th | PLAI Reading Group | Wilder Lavington | RL as Sequence Modeling and Decision Transformers | Paper Link |
November 23rd | PLAI Reading Group | Justice Sefas | Martingale Posterior Distributions | Paper Link |
November 30th | NeurIPS Conference | – – | ||
December 7th | Guest Speaker | Tilman Troester | Astronomy & Machine Learning | Link To Slides |
December 14th | PLAI Reading Group | Christian Weilbach | Mass Editing Memory in a Transformer | Paper Link |
December 30th | Meeting Cancelled | – – |
Winter 2023 (Term 2)
Date | Format | Presenter | Topic | Paper | |
January 4th | PLAI Reading Group | Larry Liu | Why Decision Transformers and RvS Fail in Stochastic Environments | Paper Link | |
January 9th | PLAI Reading Group | Jason Yoo | Continual Deep Learning by Functional Regularisation of Memorable Past | Paper Link | |
January 16th | PLAI Reading Group | Vasileios Lioutas | Dichotomy of Control: Separating What You Can Control from What You Cannot | Paper Link | |
January 23rd | PLAI Reading Group | Ryan Fayyazi | Continual Learning via Sequential Function-Space Variational Inference | Paper Link | |
January 30th | Meeting Cancelled | – – | |||
February 6th | Thesis Proposal Defense | Andreas Munk | Accelerating Bayesian Inference in Probabilistic Programming | ||
February 13th | Meeting Cancelled | – – | |||
February 20th | Meeting Cancelled | – – | |||
February 27th | PLAI Reading Group | Xiaoxuan Liang | Return-Conditioned Supervised Learning for Offline Reinforcement Learning | Paper Link | |
March 6th | PLAI Reading Group | Matthew Niedoba | Flow Matching for Generative Modelling | Paper Link | |
March 13th | PLAI Reading Group | Saeid Naderiparizi | Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling | Paper Link | |
March 20th | Meeting Cancelled | – – | |||
March 27th | PLAI Reading Group | William Harvey | Consistency Models | Paper Link | |
April 3rd | PLAI Reading Group | Wilder Lavington | Reachability Constrained Reinforcement Learning | Paper Link | |
April 10th | Meeting Cancelled | – – | |||
April 17th | PLAI Reading Group | Justice Sefas | Understanding the Diffusion Objective as a Weighted Integral of Elbos | Paper Link | |
April 24th | PLAI Reading Group | Christian Weilbach | Mass Editing Memory in a Transformer | Paper Link | |
May 1st | PLAI Reading Group | Reuben Cohn-Gordon | Reactive Probabilistic Programming | Paper Link |
Summer 2023
Date | Format | Presenter | Topic | Paper |
June 14th | PLAI Reading Group | Jason Yoo | KNN-Diffusion: Image Generation via Large-Scale Retrieval | Paper Link |
June 21st | Meeting Cancelled | – – | ||
June 28th | Meeting Cancelled | – – | ||
July 5th | PLAI Reading Group | William Harvey | Fast Training of Diffusion Models with Masked Transformers | Paper Link |
July 12th | PLAI Reading Group | Xiaoxuan Liang | Diffusion Posterior Sampling for General Noisy Inverse Problems | Paper Link |
July 19th | PLAI Reading Group | Matthew Niedoba | Any-to-Any Generation via Composable Diffusion | Paper Link |
July 26th | Meeting Cancelled | – – | ||
August 2nd | Meeting Cancelled | – – | ||
August 9th | Meeting Cancelled | – – | ||
August 16th | Meeting Cancelled | – – | ||
August 23rd | PLAI Reading Group | Wilder Lavington | PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks | Paper Link |
2021 – 2022 Academic Year
Fall 2021 (Term 1)
Date | Format | Presenter | Topic | Paper |
September 2nd | PLAI Reading Group | Adam Scibior | Particle Approximations of the Score and Observed Information Matrix in State Space Models with Application to Parameter Estimation | Paper Link |
September 9th | PLAI Reading Group | Ryan Fayyazi | Learning to Continually Learn | Paper Link |
September 16th | PLAI Reading Group | Berend Zwartsenberg | Object-Centric Learning with Slot Attention | Paper Link |
September 23rd | PLAI Reading Group | Wilder Lavington | A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups | Paper Link |
September 30th | Meeting Cancelled | – – | ||
October 7th | PLAI Reading Group | Boyan Beronov | Natural Graph Networks | Paper Link |
October 14th | PLAI Reading Group | Will Harvey | Progressive Distillation for Fast Sampling of Diffusion Models | Paper Link |
October 21st | PLAI Reading Group | Andreas Munk | Primal Wasserstein Imitation Learning | Paper Link |
October 28th | PLAI Reading Group | Vasileios Lioutas | Rethinking Attention with Performers | Paper Link |
November 4th | PLAI Reading Group | Justice Sefas | Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation | Paper Link |
November 11th | Meeting Cancelled | – – | ||
November 18th | PLAI Reading Group | Saeid Naderiparizi | Score-based Generative Modeling in Latent Space | Paper Link |
November 25th | Meeting Cancelled | – – | ||
December 2nd | PLAI Reading Group | Christian Weilbach | Variational Diffusion Models | Paper Link |
Winter 2022 (Term 2)
Date | Format | Presenter | Topic | Paper |
January 20th | PLAI Reading Group | Jason Yoo | Associative Memories via Predictive Coding | Paper Link |
January 27th | PLAI Reading Group | Larry Liu | Generating Vehicle Specific Waypoints from a General Probabilistic Driving Planner | |
February 3rd | PLAI Reading Group | Ryan Fayyazi | Tutorial on Continual Learning Methods | |
February 10th | Meeting Cancelled | – – | ||
February 17th | PLAI Reading Group | Wilder Lavington | Gradients are Not All You Need | Paper Link |
February 24th | PLAI Reading Group | Boyan Beronov | A Variational Perspective on Diffusion-Based Generative Models and Score Matching | Paper Link |
March 3rd | PLAI Reading Group | Will Harvey | Score-Based Generative Modeling with Critically-Damped Langevin Diffusion | Paper Link |
March 10th | AI/ML Job Talk Preparation | Frank Wood | DC3: A learning method for optimization with hard constraints | Paper Link |
March 17th | AI/ML Job Talk Preparation | Vasileios Lioutas | InfoVAE: Information Maximizing Variational Autoencoders | Paper Link |
March 24th | AI/ML Job Talk Preparation | Justice Sefas | Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning | Paper Link |
March 31st | PLAI Reading Group | Andreas Munk | Tutorial on Distributed Training | |
April 7th | Invited Speaker | Uros Seljak | Deterministic Langevin Monte Carlo for Sampling and Optimization | |
April 14th | Meeting Cancelled | – – | ||
April 21st | PLAI Reading Group | Christian Weilbach | Tutorial on Deep Learning with Transformers in Julia | |
April 28th | NeurIPS Draft Reviewing | Will et al. / Berend et al. | ||
May 5th | NeurIPS Draft Reviewing | Vasileios et al. / Jason et al. | ||
May 12th | NeurIPS Draft Reviewing | Ryan et al., Christian et al., Adam et al. | ||
May 19th | NeurIPS Deadline | – – | ||
May 26th | PLAI Reading Group | Ryan Fayyazi | Progress Report |
Summer 2022
Date | Format | Presenter | Topic | Paper |
June 2nd | PLAI Reading Group | Wilder Lavington | Progress Report | |
June 9th | PLAI Reading Group | Boyan Beronov | Progress Report | |
June 16th | PLAI Reading Group | Will Harvey | Elucidating the Design Space of Diffusion-Based Generative Models | Paper Link |
June 23rd | Meeting Cancelled | – – | ||
June 30th | PLAI Reading Group | Vasileios Lioutas | Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation | Paper Link |
July 7th | PLAI Reading Group | Justice Sefas | The sample size required in importance sampling | Paper Link |
July 14th | PLAI Reading Group | Andreas Munk | Probabilistic Programs with Stochastic Conditioning | Paper Link |
July 21st | PLAI Reading Group | Christian Weilbach | Attention Approximates Sparse Distributed Memory | Paper Link |
July 28th | Meeting Cancelled | – – | ||
August 4th | PLAI Reading Group | Larry Liu | Language Model Cascades | Paper Link |
August 11th | PLAI Reading Group | Jason Yoo | Predictive Coding: A Theoretical and Experimental Review | Paper Link |
August 18th | PLAI Reading Group | Matthew Niedoba | Planning with Diffusion for Flexible Behaviour Synthesis | Paper Link |
2020 – 2021 Academic Year
Fall 2020 (Term 1)
Date | Format | Presenter | Topic | Paper |
September 11th | PLAI Reading Group | Peyman Bateni | Distilling the Knowledge in a Neural Network | Paper Link |
September 18th | PLAI Reading Group | Mike | Information Asymmetry in KL-Regularized RL | Paper Link |
September 25th | PLAI Reading Group | Jason Yoo | Reinforcement Learning Upside Down: Don’t Predict Rewards – Just Map Them to Actions | Paper Link |
October 2nd | ICLR Deadline | – – | ||
October 9th | PLAI Reading Group | Andy | Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems | Paper Link |
October 16th | Meeting Cancelled | – – | ||
October 23rd | ProbProg Conference | – – | ||
October 30th | Meeting Cancelled | – – | ||
November 6th | PLAI Reading Group | Vaden Masrani | Involutive MCMC: a Unifying Framework | Paper Link |
November 13th | PLAI Reading Group | Vaden Masrani | Involutive MCMC: a Unifying Framework (Cont.) | Paper Link |
November 20th | PLAI Reading Group | Andreas Munk | Adversarial Lipschitz Regulation | Paper Link |
November 27th | Exchange Seminar | Helge Rhodin’s Group | ||
December 4th | PLAI Reading Group | Will Harvey | Metalearned Neural Memory | Paper Link |
December 16th | Exchange Seminar | Helge Rhodin’s Group |
Winter 2021 (Term 2)
Date | Format | Presenter | Topic | Paper |
January 14th | PLAI Reading Group | Saeid Naderiparizi | Markovian Score Climbing: Variational Inference with KL(p||q) | Paper Link |
January 21st | PLAI Reading Group | Christian Weilbach | AI Feynman 2.0: Pareto-Optimal Symbolic Regression Exploiting Graph Modularity | Paper Link |
January 28th | PLAI Reading Group | Adam Scribior | Pyro: Deep Universal Probabilistic Programming | Paper Link |
February 4th | ICML Deadline | – – | ||
February 11th | PLAI Reading Group | Ryan Fayyazi | Learning Compositional Rules via Neural Program Synthesis | Paper Link |
February 18th | PLAI Reading Group | Philippe Solodov | Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes | Paper Link |
February 25th | PLAI Reading Group | Wilder Lavington | SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning | Paper Link |
March 4th | PLAI Reading Group | Berend Zwartsenberg | Language Models are Few-Short Learners | Paper Link |
March 11th | PLAI Reading Group | Boyan Beronov | Annealed Flow Transport Monte Carlo | Paper Link |
March 18th | PLAI Reading Group | Peyman Bateni | An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale | Paper Link |
March 25th | PLAI Reading Group | Mike | Differentiable Particle Filtering via Entropy-Regularized Optimal Transport | Paper Link |
April 1st | PLAI Reading Group | Jason Yoo | Sequential Neural Process | Paper Link |
April 8th | PLAI Reading Group | Vaden Masrani | Generalized Variationally Inference: Tree Arguments for Deriving New Posteriors | Paper Link |
April 15th | PLAI Reading Group | Andreas Munk | Physics-Guided Neural Networks (PGNN): An Application in Lake Temperature Modeling | Paper Link |
April 22nd | PLAI Reading Group | Will Harvey | Approximate Inference for the Loss-Calibrated Bayesian | Paper Link |
April 29th | PLAI Reading Group | Saeid Naderiparizi | Meta-Learning with Implicit Gradients | Paper Link |
May 6th | PLAI Reading Group | Christian Weilbach | On the Spectral Bias of Neural Networks | Paper Link |
Summer 2021
Date | Format | Presenter | Topic | Paper |
June 10th | PLAI Reading Group | Adam Scribior | DiCE: The Infinitely Differentiable Monte-Carlo Estimator | Paper Link |
June 17th | PLAI Reading Group | Vasileios Lioutas | Linformer: Self-Attention with Linear Complexity | Paper Link |
June 24th | PLAI Reading Group | Ryan Fayyazi | Neurosymbolic Transformers for Multi-Agent Communication | Paper Link |
July 1st | Meeting Cancelled | – – | ||
July 8th | PLAI Reading Group | Wilder Lavington | Decoupling Representation Learning from Reinforcement Learning | Paper Link |
July 15th | PLAI Reading Group | Berend Zwartsenberg | Neural Ordinary Differential Equations | Paper Link |
July 22nd | PLAI Reading Group | Boyan Beronov | Automatic Structured Variational Inference | Paper Link |
July 29th | PLAI Reading Group | Will Harvey | Very Deep VAEs Generalize Autoregressive Models and can Outperform Them on Images | Paper Link |
August 5th | PLAI Reading Group | Andreas Munk | Scalable Sampling for Discrete Distributions | Paper Link |
August 12th | PLAI Reading Group | Vaden Masrani | q-Paths: Generalizing the Geometric Annealing Path using Power Means | Paper Link |
August 19th | PLAI Reading Group | Saeid Naderiparizi | Score-Based Generative Modeling Through Stochastic Differential Equations | Paper Link |
August 26th | PLAI Reading Group | Christian Weilbach | Multi-Agent Training Beyond Zero-Sum with Correlated Equilibrium Meta-Solvers | Paper Link |
2019 – 2020 Academic Year
Winter 2020 Term 2
Date | Format | Presenter | Topic | Paper |
February 25th | Exchange Seminar | Michiel van de Panne’s Group | ||
March 3rd | Meeting Cancelled | – – | ||
March 10th | PLAI Reading Group | Peyman Pateni | Unsupervised Meta-Learning For Few-Shot Image Classification | Paper Link |
March 16th | Exchange Seminar | Trevor Campbell’s Group | ||
March 27th | Exchange Seminar | Mark Schmidt’s Group | ||
March 31st | Exchange Seminar | Michiel van de Panne’s Group | Planning as Inference in Epidemiological Models | Paper Link |
April 7th | PLAI Reading Group | Boyan Beronov | Variational Predictive Information Bottleneck | Paper Link |
April 14th | Exchange Seminar | Kevin Leyton-Brown’s Group | ||
April 24th | PLAI Reading Group | Vaden Masrani | Exact Rate-Distortion in Autoencoders via Echo Noise | Paper Link |
May 1st | Exchange Seminar | Mark Schmidt’s Group | ||
May 5th | PLAI Reading Group | Will Harvey | The Functional Neural Process | Paper Link |
May 12th | PLAI Reading Group | Andreas Munk | Generative Modeling by Estimating Gradients of the Data Distribution | Paper Link |
May 19th | Exchange Seminar | Kevin Leyton-Brown’s Group |
Summer 2020
Date | Format | Presenter | Topic | Paper |
June 16th | Exchange Seminar | Kevin Leyton-Brown’s Group | ||
June 26th | PLAI Reading Group | Jason Yoo | Importance Weighted Hierarchical Variational Inference | Paper Link |
July 3rd | PLAI Reading Group | Andrew Warrington | Learning Existing Social Conventions via Observationally Augmented Self-Play | Paper Link |
July 10th | PLAI Reading Group | Vaden Masrani | Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators | Paper Link |
July 17th | PLAI Reading Group | Christian Weilbach | Inference Trees | |
July 24th | PLAI Reading Group | Adam Scribior | Counterfactual Probabilistic Programming | Paper Link |
July 31st | PLAI Reading Group | Mike | Diversity is All You Need: Learning Skills without a Reward Function | Paper Link |
August 7th | PLAI Reading Group | Saied Naderiparizi | Conditional Neural Processes | Paper Link |
August 14th | PLAI Current Project Pitch | PLAI Group (Everyone) | ||
August 21st | PLAI Reading Group | Boyan Beronov | Implicit Regularization in Deep Learning: A View from Function Space | Paper Link |
August 28th | PLAI Reading Group | Wilder Lavington | Maximum a Posteriori Policy Optimisation | Paper Link |